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DWH Automation

On-Prem DWH Redesign & Multi-Cloud Automation

A portable, automation-first warehouse architecture that adapts to schema drift and deploys across multiple cloud targets from one source.

AnalyticsCreatorAzure Data FactoryDACPACElasticsearch
DWH Automation illustration

The challenge

Source systems were changing constantly — schemas drifted, new fields appeared — and every change cost weeks of manual rework downstream.

Our approach

How we structured the work, end to end.

01
Inventoried the source landscape and modelled the schema-drift patterns that were costing the most.
02
Introduced AnalyticsCreator to generate the warehouse from metadata — so a model change in one place propagates everywhere.
03
Built drift-aware ingestion in Azure Data Factory that handles new fields without breaking pipelines.
04
Standardised deployment via DACPAC so the same logical warehouse can land on any cloud target.

The architecture

From source to insight, in one governed flow.

01
Source (JSON)
02
Schema Drift Handler
03
Model Generator
04
Multi-Cloud Targets

Outcome

What changed
The warehouse now adapts to source change automatically and ships to any cloud target from one source of truth.

Related work

Other engagements with a similar shape.

Process × Intelligence

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