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Data engineering
Cloud analytics data platform
A governed analytics foundation that turns fragmented operational data into dependable business insight.
The challenge
Reporting relied on manual extracts from disconnected systems, making decisions slow and metrics difficult to trust.
The approach
We developed an automated ELT platform with tested transformations, data quality checks, and documented ownership.
Architecture
- 1Managed connectors ingest operational data
- 2Airflow orchestrates reliable data workflows
- 3BigQuery provides the analytical warehouse
- 4Curated models expose consistent business metrics
Lessons learned
Shared metric definitions and clear ownership created more value than pipeline speed alone. Governance worked best when embedded in delivery rather than added later.
Let's build well
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