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MICROSOFT FABRICTechnology

OneLake Multi-Cloud Consolidation: 20+ Sources into One Governed Platform

Client
Fortune 500 Enterprise
Industry
Technology
Duration
7 months
20+
Sources unified into OneLake
Weeks→Hours
New source onboarding
6→0
ETL vendors eliminated
100%
Pipeline reliability
The Challenge

Where things stood before

20+ enterprise data sources scattered across Azure, AWS and on-prem SQL Server with six different ETL vendors. Onboarding a new source took weeks, and cross-source analytics required nightly copy jobs that broke constantly.

Our Approach

How we engineered the outcome

  • Assessed all 20+ source systems and mapped a unification blueprint to Microsoft Fabric OneLake.
  • Enabled OneLake Shortcuts to virtualize S3 and ADLS data without duplication.
  • Built metadata-driven ingestion pipelines using ADF and dataflows Gen2 to standardize onboarding.
  • Consolidated governance under Purview + Fabric workspace RBAC + OneLake row/column security.
  • Rebuilt Silver → Gold transformations in dbt-fabric with contracts and freshness tests.
The Outcomes

Measurable business impact

20+

Sources unified into OneLake

Weeks→Hours

New source onboarding

6→0

ETL vendors eliminated

100%

Pipeline reliability

Architecture Diagram

Reference Architecture

The reference architecture we deployed for this engagement, layer by layer.

Sources
  • AWS S3
  • Azure ADLS
  • SQL Server on-prem
  • SaaS APIs
Virtualize
  • OneLake Shortcuts (S3/ADLS)
Ingest
  • ADF + Dataflows Gen2
  • Metadata-driven pipelines
Lakehouse
  • Fabric OneLake · Delta
Govern + Serve
  • Purview + Unity Catalog
  • Power BI · dbt-fabric
Before / After

The transformation, in numbers

Before
ETL vendors6
New-source onboardingWeeks
Sources unified0
Pipeline reliability~70%
After
ETL vendors0 (native)
New-source onboardingHours
Sources unified20+
Pipeline reliability100%