Modernise your data platform on Databricks.
Move from legacy data warehouses and ETL to a Delta Lake architecture designed for analytics, machine learning, and AI—without compromising trusted reporting.
Source data arrives unchanged, append-only. Nothing is lost, everything is replayable.
Deduplicated, typed, and standardized — the layer where legacy quirks are fixed once, not per report.
Modelled, documented tables that BI and AI read. This is what your old warehouse becomes.
Migrate by workload, reconcile before cutover
Warehouse migrations don't fail moving data — they fail moving the logic buried in decades of stored procedures. That's where we put the attention.
Inventory the logic, not just the tables
Stored procedures, ETL jobs, and scheduled scripts are catalogued with usage evidence. Unused logic retires; the rest is ranked by business dependency.
Land data continuously
Ingestion into bronze via Lakeflow / Auto Loader runs from day one, so the lakehouse fills while transformation work proceeds — no big-bang copy at the end.
Rebuild transformations in the open
Legacy ETL becomes versioned, tested pipeline code — reviewable and owned, instead of a stored procedure nobody dares touch.
Reconcile, cut over, decommission
Old and new run side by side per workload until row counts and values match. Reports repoint wave by wave; the warehouse switches off when its last consumer leaves.
Start with a migration strategy call.
We'll discuss your current data platform, migration goals, and how to approach Databricks with the least risk and the fastest path to value.