Partnership at a Glance

Bandhan’s Databricks practice is built on platform certification depth, governance discipline, and engineering work across every layer of the Lakehouse, from foundation to production AI.

Databricks Services Partner Tier

Active Databricks Services Partner with vertical specialization across BFSI, healthcare, retail, media, and manufacturing

Certified Specialists

AI and Machine Learning in Microsoft Azure; Analytics on Microsoft Azure; Build and Modernize AI Apps; Migrate Enterprise Applications to Microsoft Azure.

Champion Designations

Active Databricks Champions across data engineering, ML, and Generative AI

Brickbuilder Accelerators

Industry-vertical Brickbuilder solutions and accelerators on Lakehouse

Unity Catalog Discipline

Governance-first delivery. Every engagement is structured around Unity Catalog as the access and lineage backbone.

Enterprise Footprint

Multi-industry footprint across BFSI, healthcare, retail, media, and manufacturing, including migrations from legacy data warehouses, Hadoop, and competing lakehouse platforms

Our Databricks Practice

Databricks has consolidated the modern enterprise data architecture. The Lakehouse Platform unifies data engineering, analytics, ML, and generative AI on one governed substrate. Unity Catalog has become the data and AI governance backbone that enterprises increasingly standardize on. Mosaic AI and Genie are reshaping how organizations build and deploy production generative AI on their own data.
Bandhan’s Databricks practice is built for that reality. Our team holds active Databricks certifications across Data Engineer Professional, Machine Learning Professional, and Generative AI Engineer, backed by Champion designations and Brickbuilder accelerators.
We deliver across the platform lifecycle:

Advisory: Lakehouse architecture, Unity Catalog governance design, Mosaic AI use-case selection, and migration strategy
Build: Lakehouse foundation engineering, Unity Catalog implementation, Mosaic AI and Genie deployment, and ML production engineering
Run: Lakehouse managed operations, FinOps, and continuous optimization
engagements are structured around outcomes, including Lakehouse time-to-insight, AI use-case impact, migration throughput, and governance posture, with measurable commitments tied to each.

Capabilities and Accelerators on the Databricks Stack

Bandhan’s Databricks practice spans the full Databricks Data Intelligence Platform with named Bandhan solutions and accelerators that compress time-to-value on each component. Engagements typically combine multiple capabilities. A Lakehouse foundation engagement frequently extends into Unity Catalog rollout, Mosaic AI use cases, and MLflow production discipline as the platform matures.
See What Stays Running

Databricks Lakehouse Foundation

Lakehouse architecture, design, and engineering on Databricks. Includes Delta Lake, medallion architecture, ingestion via Auto Loader and DLT, governed data products, and Lakehouse Federation for cross-platform access. Powered by Aibase data foundation and Harvest acquisition accelerators.

Unity Catalog Governance

End-to-end Unity Catalog implementation covering schema design, access control, lineage, tagging, data and AI asset governance, and integration with enterprise identity (Entra ID, Okta) and external governance tools, including Microsoft Purview. Powered by Bandhan Trust.

Mosaic AI and Generative AI

Production-grade generative AI on Mosaic AI, including vector search, foundation model fine-tuning, AI gateway, Mosaic AI Agent Framework, and grounded retrieval on Lakehouse data. Includes Databricks Genie for conversational analytics deployment. Powered by Bandhan Enterprise Intelligence (BEI) and Agent Assist.

MLFlow and Production ML

ML engineering on MLflow and Databricks ML covering model registry, experiment tracking, model serving, feature store, and production observability with discipline for the realities of regulated workloads. Powered by AIWatch.

Databricks SQL and Analytics

Analytics on Databricks SQL, including BI integration, semantic layer, AI/BI Dashboards, materialized views, and direct-query analytics on Lakehouse with cost and performance optimization. Powered by Ailytics.

Migration to Databricks

Migration of legacy data warehouses (Teradata, Netezza, on-premises SQL), Hadoop estates, and competing lakehouse platforms onto Databricks. Uses structured migration accelerators and AI-augmented delivery operations. Powered by Shift, Delivery 2.0, and AMS.AI.

Brickbuilder Industry Solutions

Industry-vertical accelerators on Lakehouse covering BFSI fraud and risk, healthcare population health, retail merchandising and personalization, media audience intelligence, and manufacturing IIoT analytics. Built as deployable Brickbuilder solutions, not custom-from-scratch engagements.

Industry Applications

The Databricks Lakehouse is the data substrate for our delivery across every industry we serve. Below are the most common Databricks-led engagement patterns by industry. Each links to the dedicated industry page for buyers evaluating both partner and vertical fit.

BFSI on Databricks

Fraud detection, AML, and risk modeling on the Lakehouse, Unity Catalog-governed BFSI data, Mosaic AI for advisor and contact center assistance, and MLflow-managed model risk in production. See the BFSI industry page for full use-case coverage.

Healthcare on Databricks

Population health, life-sciences research data, and clinical analytics on the Lakehouse, HIPAA-aligned Unity Catalog access boundaries, and Mosaic AI for clinical knowledge and operational use cases. See the Healthcare industry page.

Retail and Consumer Goods on Databricks

Personalization, demand sensing, and merchandising on the Lakehouse, Mosaic AI for retail copilots, Brickbuilder retail accelerators, and Databricks SQL for merchant and category analytics. See the Retail industry page.

Media and Entertainment on Databricks

Audience intelligence at scale on the Lakehouse, content and ad performance analytics, rights-aware Unity Catalog governance, and Mosaic AI for editorial and ad-ops support. See the Media industry page.

Manufacturing on Databricks

IIoT data foundation on Lakehouse, predictive maintenance ML on Databricks, Mosaic AI for engineering knowledge, and IP-protective Unity Catalog access boundaries for engineering assets. See the Manufacturing industry page.

Why Bandhan as Your Databricks Partner

Bandhan’s Databricks practice has delivered Lakehouse, ML, and generative AI engagements across BFSI, healthcare, retail, media, and manufacturing. Engagements include Lakehouse foundations at multi-billion-dollar retailers, Unity Catalog governance programs at financial services organizations, Mosaic AI deployments for healthcare and industrial customers, and large-scale migrations from legacy data warehouses and Hadoop estates onto Databricks. Customer references are available under an appropriate NDA.

Migration Expertise Across Legacy Estates

Active practice migrating Teradata, Netezza, Hadoop, on-premises SQL, and competing lakehouse platforms onto Databricks with proven structured migration accelerators.

Certification Breadth, Including Generative AI Engineer

75+ Databricks-certified specialists, including the Generative AI Engineer credential, demonstrating operational depth on the platform’s newest surfaces.

Databricks-Native Accelerators

Brickbuilder industry solutions plus Bandhan accelerators (BEI on Mosaic AI, AIWatch on MLflow, Trust on Unity Catalog) that compress engagement timelines.

Governance-First Delivery Discipline

Unity Catalog is treated as the access and lineage backbone of every engagement. Not an afterthought. The governance posture regulators and audit teams expect.

Industry Vertical Specialization

BFSI, healthcare, retail, media, and manufacturing accelerators on Lakehouse, Brickbuilder-developed and deployable.

Take the Next Step

Ready to build or migrate onto the Databricks Data Intelligence Platform with a partner who compresses time-to-value?

Book Now

Book a Databricks Lakehouse Roadmap Session with a Bandhan Databricks specialist and choose your entry point.

  • Lakehouse architecture workshop
  • Unity Catalog governance assessment
  • Mosaic AI use-case workshop
  • Legacy-platform migration assessment

Each is structured to deliver a sequenced 90-day engagement plan with measurable Lakehouse-stack outcomes.