Databricks delivery partner · Charlotte · Bengaluru · Brazil

The Databricks partner your team actually wants in the room.

150+ production engagements across data engineering, migrations, AI/ML, Generative AI and Databricks Apps. Every engagement led by Resident Solution Architects — not a bench, not a rotation, not a junior learning on your data.

Book a 30-min scoping call See how we work

150+ engagements · Accredited Databricks partner · Follow-the-sun delivery

By the numbers

Production Databricks engagements delivered across healthcare, financial services, retail and SaaS — engineering, migrations, AI/ML and Generative AI.

Engineers across three geos

24/5

Follow-the-sun delivery

Resident Solution Architects

Charlotte · Bengaluru · Brazil

Trusted by

— What we do

Nine ways data teams hire us on Databricks.

We've deliberately focused on Databricks and gone deep. Every engagement starts with a two-week scoping sprint — you see the plan, the team, and the price before you commit.

Databricks delivery

Lakehouse architecture, Unity Catalog, Delta Live Tables and Workflows — shipping production-grade CI/CD from day one.

Lakehouse design & build
Unity Catalog & governance
DLT, Workflows, observability

Data engineering pipelines

Scalable ETL/ELT on Spark, Delta Lake and Lakeflow. Medallion architecture for batch and streaming workloads.

Dimensional & medallion modeling
dbt & pipeline development
Testing, lineage, observability

Platform migrations

Off Teradata, Oracle, SQL Server, Hadoop or legacy Spark onto Databricks — migrations that ship in slices, never a big-bang flip.

Teradata & Oracle offload
Hadoop to lakehouse
Zero data loss, minimal downtime

AI & ML in production

First model to monitored, governed production — MLflow, feature stores, drift detection, with a bias toward simple models that actually ship.

Feature engineering & training
MLflow & model registry
Monitoring, drift & retraining

Generative AI

Governed RAG, agentic workflows, and LLM applications on Databricks. Every answer grounded in your lakehouse, with auditability and cost controls.

Retrieval-augmented generation
Agentic workflows
Evals, governance, cost controls

Data quality & governance

Custom ANTLR-based rule engines, data grading, Unity Catalog governance, HIPAA & GDPR compliance — the work that won us our healthcare reputation.

ANTLR grammar engines
Data grading frameworks
HIPAA / GDPR compliance

Streaming & real-time

When overnight batch isn't enough: Kafka, Structured Streaming and Delta Live Tables with exactly-once guarantees and runbooks your team can actually run.

Event architecture & schemas
Exactly-once pipelines
Real-time feature stores

Databricks Apps & UI

A dedicated product-UI team in Brazil builds Databricks-native applications on top of your lakehouse — internal tools, operator consoles, governed self-service.

Databricks Apps framework
Lakehouse-native internal tools
Operator & analyst consoles

Staff augmentation & training

Certified Databricks engineers for short or long-term engagements. Plus certification prep, custom workshops and structured knowledge transfer programs.

Short & long-term engagements
Databricks certification prep
Custom workshops

Case · Healthcare

Automated healthcare data quality on Databricks — featured by Databricks.

We built an ANTLR grammar engine on Spark and Delta Lake for Abacus Insights to drive data usability for health plans through simplified data quality enforcement.

Read on databricks.com →

— Partners & Ecosystem

A Databricks delivery partner, first and foremost.

We've spent the last several years going deep on one platform instead of spreading thin across five. The lakehouse doesn't live in a vacuum — we're fluent in the clouds, tools and patterns that surround it.

DATABRICKS · ACCREDITED DELIVERY PARTNER

Our primary platform, by design.

We ship lakehouses the way Databricks intended — Unity Catalog, Delta Live Tables, Workflows, structured streaming, MLflow — with production-grade CI/CD from day one. Every engineer on your project has shipped production Databricks workloads before.

Start a Databricks project → See our services

Production Databricks engagements

Engineers across three geos

Resident Solution Architects

24/5

Follow-the-sun delivery

Where Databricks runs — the ecosystem we plug into.

Amazon Web Services

Databricks on AWS inside your VPC with least-privilege IAM and full CloudTrail audit. S3, Glue, Lake Formation, MSK for Kafka, SageMaker where it's the right tool for the job.

Databricks on AWS with private networking
S3 & Lake Formation integration
MSK, Kinesis & event streaming

Microsoft Azure

Azure Databricks, ADLS Gen2, Event Hubs and Power BI — wired together with Entra ID and proper tenant isolation. Fabric migrations into Azure Databricks where it's the smarter path.

Azure Databricks & ADLS Gen2
Event Hubs & streaming
Power BI semantic models

dbt Labs

dbt Core and dbt Cloud on Databricks with opinionated structure, tests, docs and CI. If your dbt project has turned into a 1,200-model tangle, we've seen it before and we know how to untangle it.

dbt on Databricks
Tests, docs, exposures, CI/CD
Refactoring legacy dbt projects

Streaming

Kafka · Confluent · DLT

Kafka, Confluent, Kinesis, Structured Streaming and Delta Live Tables. We pick the right primitive for the workload — never dragging in kit the team won't be able to operate.

Kafka / Confluent Cloud
DLT & Structured Streaming
Schema registries & governance

Delta Lake

Open table format for the lakehouse. We design medallion architectures that exploit Delta's ACID guarantees, time travel, schema evolution and change data feeds.

Bronze / silver / gold modeling
CDC & change data feeds
Performance tuning & Z-ordering

Power BI · Tableau

Semantic models, governed datasets, and dashboard frameworks that read straight from the lakehouse — no extraction layer, no stale cubes, no nightly refresh fire drills.

Direct-query & semantic layer
Governed datasets & RLS
Tableau & Power BI integration

— Delivery footprint

Three geos, one team — without overnight handoffs.

🇺🇸

Charlotte Client-facing delivery & architecture · US East/Central hours

🇮🇳

Bengaluru Engineering & 24/5 on-call · Resident Solution Architects

🇧🇷

Brazil Product UI team · Databricks Apps & lakehouse-native interfaces

— Our flagship product

HelixCore — a semantic compute control plane for Databricks.

A Databricks-native execution layer. Ontology-driven. Deterministic. ABAC governance injected at compile time. Pre-execution risk and cost controls on every query before a single DBU is consumed.

Eight deterministic pipeline stages. 50+ API endpoints. 10 production screens. Built by BeesBridge. Powered by Databricks. Governed by design.

HelixCore Studio Built by BeesBridge · Powered by Databricks

A semantic compiler, not a copilot. AI is the front door — execution is deterministic, ontology-driven, and governed by contract.

Eight deterministic stages from intent to audit
ABAC governance, classification & mask functions at compile time
Nine configurable guardrails — PASS, WARN, or BLOCK
Auto-bootstrap a new domain from any Unity Catalog schema
Native Databricks App — no data movement, full audit trace

Request HelixCore Demo Talk to us

01 · Ontology-Driven

Living semantic model drives everything.

Every query is validated, planned, and governed through the ontology. No black-box prompts.

02 · Deterministic

No temperature variance.

AI is the front door — execution is compiler-driven. Predictable, repeatable, auditable.

03 · ABAC Governance

Attribute-based access at compile time.

Classification hierarchy, mask functions, RLS predicates — injected before compute is consumed.

04 · Multi-Domain

Same engine. Any domain.

Supply chain, healthcare, QRA, payment integrity, accounting — adding a domain is configuration.

05 · Pre-Execution Intelligence

Risk & cost before compute.

Risk scoring, cost estimation, nine configurable guardrails — evaluated on every query.

06 · Self-Service Bootstrap

New domain in minutes.

Point at any catalog schema — auto-detect entities, attributes, relationships, sensitivity. Review, approve, activate.

Eight deterministic stages — intent to audit.

PARSE → VALIDATE → PLAN → SCORE → ESTIMATE → GUARD → GOVERN → EXECUTE

Parse

NL to structured intent via Databricks Genie.

Validate

Check entities, fields and joins against live ontology.

Plan

Build inspectable execution plan from the ontology graph.

Score

Risk-assess across 6 heuristic dimensions.

Estimate

Project scan rows, data volume, DBU cost, runtime.

Guard

Nine guardrails: PASS, WARN, or BLOCK.

Govern

ABAC: CLS, RLS, tenant isolation at compile time.

Execute + Audit

Spark SQL on your warehouse; full audit trace returned.

HelixCore is a deployable accelerator — not a demo. Bootstrap workshops, ABAC governance, guardrail config — deployed as part of delivery.

Talk to the HelixCore team →

— Internal engineering toolkit

Every engagement starts from the same 5-minute baseline.

We've built an internal scaffolding toolkit — codename bees-dbx — that produces a production-ready BeesBridge Databricks app workspace in about five minutes. Skills declare the conventions. An MCP server makes them callable. A studio gives engineers a visual surface on top.

Engineers spend the recovered week shipping features instead of yak-shaving project skeletons. It's not public — it's how every BeesBridge engagement starts. And it keeps growing: every engagement we run feeds new patterns, tools and conventions back into the toolkit. What ships today is a snapshot, not a ceiling.

Built by BeesBridge Powered by Databricks Driven by Claude · MCP

0MCP tools

0Skills

0Slash workflows

~5 minFrom zero to scaffolded app

Skills

Declarative conventions

Four SKILL.md files encode the BeesBridge way of structuring Databricks apps — bootstrap, builder, services, UI. Each one ships templates, scripts and reference docs.

dbx-bootstrap — workspace root
dbx-app-builder — DAB-deployed wheel
dbx-app-services — Flask + Swagger
dbx-app-ui — React + Flask

MCP Server

Callable from any client

The skills exposed as a Model Context Protocol server — 11 tools, 4 resources, 6 prompts. Reachable from Claude Code, Claude Desktop, Cursor, and our studio.

scaffold_workspace · inspect_workspace
add_builder · add_services · add_ui
run_make_target · check_app_health
set_github_secrets · validate_skill

Studio

Engineer-facing surface

A local web UI on top of the MCP server. Chat on the left, activity timeline + files + notes on the right. Slash menu for the pre-canned workflows. One continuous conversation from zero to deployable app.

Live activity timeline of tool calls
Files tree refreshed as work lands
Notes saved into the workspace
"Open in VS Code" handoff

— What every scaffold produces

One workspace. Three deployable sub-projects.

React + Flask

React + Vite + TypeScript front end, Flask backend that proxies /api/* to services. Deployed as a Databricks App.

Frequent · design tweaks

Services

Flask + Swagger

Flask + gunicorn API with Swagger UI. Optional Lakebase Postgres. Optional auto-install of the builder wheel from Unity Catalog volumes. Deployed as a Databricks App.

Medium · business logic

Builder

Python wheel + DAB

Python wheel with pyproject.toml (uv + hatchling) and a databricks.yml with dev/test/prod targets. Deployed as a Databricks Job via Asset Bundles.

Slow · data pipeline

The toolkit is ever-growing.

What you see above is a snapshot of where the toolkit stands today. Every BeesBridge engagement is a forcing function — new patterns, new tools, new conventions get folded back in. Recent additions: ABAC governance hooks, Lakebase support, MCP resource sharing, automated GitHub secrets sync. Tomorrow's engagements will add more.

+ ABAC hooks + Lakebase + MCP resources + HTTP transport (next) + Real RAG (next)

Want to see it scaffold a workspace in real time? A 4-minute walkthrough of the studio: bootstrap → builder → services → UI → CI green. Watch below, or request a deeper live walkthrough.

Request a live walkthrough →

— 4-min demo · Loom

Studio Tour → Scaffold → Inspect → Open in VS Code

— BeesBridge PSA

The PSA platform built for Databricks consulting operations.

End-to-end professional services automation: resources, time, POs, invoicing, contractor payments, analytics — and an AI assistant that already knows your data.

31Dashboard Views

6API Integrations

22+AI-Powered Tools

4User Roles

5Platforms

app.beesbridge.us / dashboard

Revenue (12mo)$4.82M▲ 12.3%

AR Outstanding$687K▼ 4.1%

Utilization87%▲ 2.0%

Active POs34↘ 2 expiring

Revenue trend

AR Aging

Current

$412K

30 days

$168K

60 days

$78K

90+ days

$29K

Buzz AI Assistant · 22 tools online · Powered by Claude on Databricks

Which POs are depleting in the next 30 days?

3 POs are projected to deplete by mid-June: PO-1184 (Acme), PO-2031 (Helix Health), PO-2210 (Northwind). Want me to draft renewal emails?

Ask Buzz anything…↵

Resource & Project Management

End-to-end PO/SOW lifecycle
Resource allocation & capacity planning
Hourly, milestone & fixed billing
No-PO assignment gates with alerts

Time & Billing

Mobile-first timesheet entry (PWA + native)
Timecard processing with PO linkage
Multi-mode invoice generation
QuickBooks Online integration

Financial Operations

Real-time AR & cash flow dashboards
30 / 60 / 90-day inflow projections
Payment reconciliation with QBO
Contractor invoices & vendor bills

Featured

Buzz — Conversational AI

Powered by Claude (Anthropic) on Databricks
22+ registered tools: POs, AR, timesheets, capacity
AI document extraction for PO / SOW PDFs
Voice input, role-aware catalog, thread persistence
Downloadable PDF reports

Document & Email Automation

Automated email scanning for PO intake
AI-powered PDF extraction
SharePoint document storage
SoW milestone parsing

Analytics & Reporting

12-month rolling revenue trend
Revenue by client & resource
Margin & utilization radar
AR aging buckets · PDF export

Multi-Platform Access

Web dashboard (full-featured)
Installable PWA
iOS & Android via Capacitor
Mobile-optimized, touch-friendly

Roles & Security

Admin, Manager, Employee, External AP
Password + TOTP MFA
Role simulation via "View-as" toggle
SQL-level access control

Integrations

QuickBooks Online (OAuth2)
Microsoft Graph — Outlook & SharePoint
Databricks Foundation Models
Databricks Claude · Capacitor

See PSA running on your data.

A 30-minute demo — bring your spreadsheets, leave with a working dashboard.

Request PSA Demo

— What clients say

Real stories from real customers.

Quotes from the data and engineering leaders we've built for — at Abacus Insights, IQVIA and HealthVerity.

I would highly recommend Beesbridge, a data engineering firm that specializes in building scalable, high-performance data infrastructure. They have a proven track record of delivering innovative solutions that enable businesses to unlock the full potential of their data. They helped us implement Next Generation Architecture for Delta Lake using Databricks running on both AWS and Azure, and we were extremely pleased with the results.

Navdeep Alam CTO, Abacus Insights

It has been a pleasure to work with Beesbridge LLC on a number of large-scale data initiatives for healthcare applications. They specialize in optimizing both performance and costs for petabyte-scale workloads. You bring the Beesbridge team in when you face complex, multimodal data challenges and want to demonstrate value to demanding business stakeholders. They are consummate consulting professionals — they attack problems, iterate quickly, remain flexible, and keep communication open.

Jim McKeown SVP, IT, IQVIA

HealthVerity is currently in month 5 of replatforming our data systems with Beesbridge. With only 5 people on the team, Beesbridge is making impressive progress. Performance tests show AWS cost cuts up to 10× — a huge win. The team is result-oriented, delivering best-of-art engineering: fully automated resilient pipelines, event-driven orchestration, PII masking, ML-based mapping. Highly recommend this team!

Anfisa Kaydak VP, Data Product & Engineering, HealthVerity

— Case studies

What "production Databricks" actually looks like.

Three engagements, three different problems, three concrete numbers. Names are public with permission; the numbers come from our customers' own statements.

Healthcare data platform HealthVerity

10× AWS cost reduction projected on the new platform

5-person team. 5-month replatform. Confidence "very high across the org."

Challenge

HealthVerity needed to replatform their existing data systems by year-end — an aggressive deadline most vendors said couldn't be hit.

Approach

Fully automated, resilient pipelines · metadata-driven configuration · event-driven orchestration · staging file stream chunking · automated infrastructure with exfiltration · PII masking and data lineage · ML-based mapping of incoming files.

Outcome

MVP shipped on time. Performance testing confirmed up to 10× AWS cost reduction. Databricks best practices applied throughout.

"Very happy with Beesbridge so far and highly recommend this team." — Anfisa Kaydak, VP Data Product & Engineering, HealthVerity

Healthcare data quality Abacus Insights

Featured by Databricks on the official blog

Next-generation Delta Lake architecture across AWS and Azure.

Challenge

Abacus needed an ANTLR-based, scalable data quality engine that could enforce rules on healthcare data at the lakehouse level — across two clouds.

Approach

Next-gen Delta Lake architecture · Databricks on AWS and Azure · ANTLR grammar engine on Spark · automated data quality framework · data grading for health plans · Unity Catalog governance.

Outcome

Production framework now driving data usability for health plans. Work was featured by Databricks on the official engineering blog as a reference customer story.

Read the Databricks blog post ↗ "Extremely pleased with the results … wealth of expertise … kept us up-to-date throughout." — Navdeep Alam, CTO, Abacus Insights

Healthcare analytics · multi-cloud IQVIA

Petabyte. scale workloads — performance & cost optimized

Multimodal data, multiple cost drivers, demanding business stakeholders.

Challenge

IQVIA needed to optimize performance and cost on petabyte-scale workloads across Snowflake, Databricks, Hadoop, Elasticsearch, MongoDB and Solr — and demonstrate value fast to internal stakeholders.

Approach

Cost-driver analysis across pipelines · troubleshooting and refactoring existing workloads · platform-appropriate primitives instead of one-size-fits-all · iterative problem solving with open communication.

Outcome

"Near-immediate return on consulting dollar investment." Multi-engagement relationship across multiple data initiatives.

"Consummate consulting professionals … I would strongly recommend Beesbridge for any big data initiative." — Jim McKeown, SVP IT, IQVIA

Healthcare AI · health-system analytics Referenced from publicly-presented Databricks event material

77 health-system subscribers reached by the Insights initiative

"Progress Through Partnership" — questions, not clicks.

Public initiative

An "AI Enabled Blackbelt" program shifting health-system analytics from dashboard clicks to natural-language questions — presented publicly at a Databricks event under the banner "Progress Through Partnership: Many Hands Make Light Work."

Partnership lineup

BeesBridge listed alongside Lovelytics, IMO Health and Databricks as delivery partners on the initiative. We don't claim a shout-out — only that the slide was shown publicly and our logo is on it.

Where we fit

Data engineering and lakehouse work supporting a "questions, not clicks" analytics experience at scale — across a 77-subscriber health-system footprint.

Source: publicly-presented Databricks event slide. No customer endorsement implied — partnership-style references only.

— Why teams keep us around

Resident Solution Architects. Real outcomes. No bench.

Every engineer on a BeesBridge Databricks engagement is a Resident Solution Architect — trained and operating the way Databricks itself deploys senior talent into customers. You never pay to train a junior on your data.

We've spent the last several years shipping Databricks workloads at every scale — from a first lakehouse for a healthcare startup, to petabyte migrations and governed Generative AI platforms. Engineering is the part we love, and it shows up in the work.

Read our story →

150+

Production Databricks engagements delivered

30+

Engineers across Charlotte, Bengaluru & Brazil

100%

Resident Solution Architects on Databricks

24/5

Follow-the-sun delivery across three time zones

— How we work

Two-week scope, then ship.

We don't do six-month discovery. You see the plan, the team, and the price inside two weeks — and you can walk away if it isn't a fit.

THE 2-WEEK SCOPING SPRINT

The plan, the team, and the price — before you commit a dollar of delivery.

The scoping sprint is a fixed-fee engagement that ends with a written plan. If you decide not to proceed, you keep the plan and we part as friends. Most clients do proceed — but the option not to is the point.

What we do

Review your stack & pipelines
Interview product, data & ops
Audit costs and bottlenecks
Define success metrics

What you get

Written architecture & plan
Effort estimate by milestone
Named RSAs for delivery
Fixed-fee or T&M proposal

Terms

Fixed fee, fully credited if you proceed
Mutual NDA on day one
You own every artifact we produce
Two-week turnaround, start to plan

DAYS

↓

WRITTEN PLAN

↓

→

SHIP OR WALK

Scoping sprint

Two weeks. We review your stack, interview your team, and produce a written plan with effort, cost, and milestones.

Deliver in slices

Four to twelve week delivery sprints with a working artifact at the end of each. Nothing goes dark for months.

Prove the outcome

Every sprint is measured against a number we picked together at kickoff — latency, uptime, adoption, spend.

Hand over or stay on

Your team owns the code, the runbooks, and the decisions. We stay as long as you want us to — and no longer.

— Industries

Where we've done this before.

We go deep in a few sectors rather than wide in all of them. Healthcare data is our strongest domain — Abacus Insights, HealthVerity, IQVIA, Definitive Healthcare, Premier Inc.

Healthcare data

Payers, providers, healthcare data platforms, HEDIS reporting, clinical warehouses, HIPAA-ready pipelines.

Financial services

Regulatory reporting, fraud analytics, customer 360, real-time risk monitoring on Databricks.

Retail & CPG

Demand forecasting, inventory optimization, customer analytics at store-level granularity.

SaaS & tech

Product analytics, usage-based billing data, growth & experimentation platforms.

— Security & compliance

Healthcare-grade by default.

We've spent enough time inside payer, provider and healthcare-data-platform environments to take security seriously by reflex — not because procurement asked. Here's what every BeesBridge engagement bakes in.

HIPAA-ready pipelines

BAA-aware data flows · de-identification patterns · audit trails by default · access scoped to the resource group, not the human.

PII masking & lineage

ML-based PII detection · column-level masking with Unity Catalog · end-to-end lineage from source to dashboard.

GDPR-aware design

Right-to-erasure flows · data minimization patterns · cross-border handling between US, EU and India tenants.

Unity Catalog governance

RBAC + ABAC at compile time (via HelixCore) · classification hierarchies · row-level security predicates · tenant isolation.

Private networking

Default-deny network posture · Databricks inside your VPC/VNet · least-privilege IAM · CloudTrail/Activity audit on every action.

SOC 2-aligned process

Change management · access reviews · encrypted secrets · MFA-enforced access · documented runbooks your auditor can read.

— Frequently asked

The questions every prospect asks before emailing.

If yours isn't here, send it to admin@beesbridge.us and we'll answer it in plain English.

How small an engagement do you take?

Two-week scoping sprints are the floor. After that, the smallest delivery engagement we typically take is a four-week sprint with a single Resident Solution Architect. Below that, you don't need a firm — you need a contractor.

Do you do fixed bid, or only time & materials?

Both. We prefer fixed-bid milestones once a scoping sprint has produced a real plan — fixed bids on top of a vague brief are just an argument waiting to happen. Smaller, well-scoped pieces of work are fixed-bid by default. Longer, exploratory engagements run T&M with weekly burn reports.

Who owns the code and IP?

You do. Every artifact produced under a BeesBridge engagement — code, runbooks, architecture diagrams, documentation — is transferred to your team on delivery. The only exception is HelixCore Studio itself, which is licensed.

Can we get US-only resourcing? Or India-only?

Yes. Many of our healthcare clients require US-only data access for specific workloads — we staff those entirely from Charlotte and the appropriate roles. Conversely, cost-sensitive engagements can run primarily out of Bengaluru with a Charlotte lead. The three-geo footprint is a feature, not a forced bundle.

How fast can you start?

Scoping sprints typically kick off within one to two weeks of the first call. Delivery engagements ramp the week after the scoping plan is signed — we don't hold dates with deposits, but we also don't take more work than we can staff with named people.

What about MSAs, BAAs, security reviews?

We've been through procurement at IQVIA, HealthVerity, Abacus Insights and Premier — we'll fit your forms. BAAs are routine. Mutual NDAs go out before the scoping sprint. We're happy to participate in your standard security questionnaire process.

Are you hiring? (We have engineers we'd like to send your way.)

We're deliberately small and currently over-staffed. We're not hiring at the moment — but we keep a small inbound list for when we are. Send your resume to admin@beesbridge.us and we'll reach out if a fit opens up.

Can we license HelixCore without a consulting engagement?

HelixCore Studio is deployed as part of a BeesBridge delivery — the bootstrap workshop, ABAC configuration, and guardrail tuning are part of the value. We can discuss licensing-only arrangements, but the product was designed to ship alongside our delivery method, not in place of it.

— Writing & insights

How we think about Databricks engineering.

Field notes from our engineers — published on Medium and the Databricks blog. Pragmatic, opinionated, written from the work.

databricks.com · Featured

Driving Data Usability for Health Plans through Simplified Data Quality Enforcement on Databricks

Healthcare · Data Quality↗

Medium · @dasari2828

From skill.md to Studio — a three-layer approach to scaffolding Databricks Apps

Databricks Apps↗

Medium · @dasari2828

Building a developer copilot using agentic design patterns

Agentic AI↗

Medium · @dasari2828

Modular ingestion on Databricks — a scalable, config-driven framework with PyHocon

Data engineering↗

Medium · @dasari2828

Streamlining access control with Databricks Apps — a Steward Grant Manager without being a DBA

Unity Catalog · Governance↗

Medium · @dasari2828

An AI-driven Slack query bot for patient data analytics — and the challenges we survived

Healthcare · AI↗

Medium · @mohit.sauhta

Automating Medicaid's T-MSIS source-to-target mapping with OpenAI Response API & file search

Healthcare · LLM↗

— About BeesBridge

We built the consultancy we wished we could hire.

BeesBridge is a Databricks delivery partner with 30+ engineers across Charlotte, Bengaluru and Brazil. Every engineer on a Databricks engagement is a Resident Solution Architect — we started the firm because we kept seeing data teams pay top dollar for juniors learning on the job. We don't think that's fair, so we don't do it.

Silicon India · 2026 Award

BeesBridge named among 100 Most Promising Companies founded by Indians in the US.

Selected after exhaustive evaluation by an expert panel of C-level executives, industry thought leaders, and the Silicon India editorial board — in recognition of stellar reputation and trust among customers and industry peers, with multiple subscriber nominations.

2026 Award year · ISSN 1091-9503 · Silicon India Magazine

— No junior on your data

31 active certifications across the team.

Every engineer on a Databricks engagement holds a Databricks cert — and the bench is stacked with Professionals and Experts, not just Associates. This is what "Resident Solution Architect" looks like on paper.

0DatabricksData Engineer Associate

0DatabricksData Engineer Professional

0DatabricksMachine Learning Associate

0DatabricksMachine Learning Professional

0DatabricksGenerative AI Engineer Associate

0AWSSolution Architect Professional

0Microsoft AzureSolution Architect Expert

0TotalActive certifications

— Leadership

The partners in the room.

Every BeesBridge engagement has a founding partner involved from kickoff — not a sales handoff to a delivery team you've never met.

Venkat Dasari

Co-founder · Consulting Partner

Leads engineering, AI/ML and Generative AI, and the product side of the firm — including HelixCore Studio. Publishes regularly on Databricks Apps, agentic design patterns, modular ingestion, and lakehouse governance.

vdasari@beesbridge.us @dasari2828 on Medium ↗

Mohit Sauhta

Co-founder · Consulting Partner

Leads delivery, architecture and partner relationships across the Databricks, AWS and Azure ecosystems. Published work on automating Medicaid T-MSIS source-to-target mapping with OpenAI's Response API and file search.

msauhta@beesbridge.us @mohit.sauhta on Medium ↗

Why "BeesBridge"?

Bees are precise, coordinated, and move in colonies — exactly how we run delivery across three time zones. A bridge connects two sides without anyone having to swim. Put them together and you get what we do every day: bridge business goals and data infrastructure with a team that actually hands things off cleanly.

What we believe

Good data work is boring in the best way. It ships, it monitors itself, it doesn't wake anyone up, and the cost line on the cloud bill goes down instead of up. The part where everyone argues about which tool is best is usually a symptom that nobody wrote down the outcome.

— Where we are

Three continents. One lakehouse philosophy.

Engineering hubs in the US, India and Brazil for true follow-the-sun delivery.

Charlotte, NC

Headquarters

UNITED STATES

Bengaluru

Engineering Hub

INDIA

Brazil

Product UI Team

SOUTH AMERICA

— Ready when you are

Let's put a number on the plan.

Send us what you're working on. We'll come back inside 48 hours with three things you could do next week — and whether we're the right team to help.

BOOK A 30-MIN SCOPING CALL

Pick a slot on your calendar — we'll be there. The "Add to calendar" link below opens Google Calendar with the event pre-filled and Venkat as the attendee. Or, if you'd rather, just email.

Open Google Calendar → Suggest times via email

BB admin@beesbridge.us General inquiries · Routes to the right person → VD vdasari@beesbridge.us Consulting · Delivery · HelixCore → MS msauhta@beesbridge.us Partnerships · PSA Platform →

📞 +1 (719) 271-2850 📍 Charlotte, NC · Bengaluru · Brazil