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Enterprise data lake on GCP
Architected an enterprise data lake with a metadata-driven PySpark framework, schema versioning, and reusable data-quality patterns.
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#data-governance
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Metadata is product infrastructure, not documentation
A practical pattern for turning scattered technical knowledge into queryable metadata: stable identities, version history, clear ownership, and views people can actually use.