A mid-market manufacturing client engaged our team to modernize its data and analytics foundation, moving from a fragmented on-premises legacy data warehouse to a secure, cloud-native platform on Azure Databricks. The objective was to unlock trusted reporting, accelerate decision-making, and build the foundation for AI-enabled use cases across finance, sales, and operations.
From a legacy on-premises data warehouse limiting scalability and trust in reporting.
Creating risk in how sensitive data was managed and consumed.
Across development, operations, and support, with no dedicated PMO or data quality function.
Leading to inconsistent engagement and slowed delivery.
We designed and delivered an end-to-end modern data platform on Azure Databricks, anchored on a Medallion Architecture (Bronze, Silver, Gold) with Delta Lake and Unity Catalog for governance.
into Azure Databricks via Azure Data Factory pipelines.
for raw, curated, and business-ready data layers.
with SCIM, MFA, RBAC, and PIM, governed through Unity Catalog.
across Dev, Test, and Prod environments.
as a flagship deliverable to prove value early.
Successfully integrated ERP data into Azure Databricks, redirecting finance reporting through governed pipelines.
Established a Unity Catalog–governed platform with master data replication and a completed Build Lab.
Delivered a flagship analytics use case creating a milestone in sales performance reporting.
Hardened security posture via SCIM integration, MFA, and role-based access.
one with both platform depth and change-management experience.
across business, IT, and executive stakeholders throughout delivery.
a focused, high-visibility outcome builds trust and momentum.
shared definitions of success prevent late-stage rework.
