Introduction: Problem, Context & Outcome Data teams frequently face slow pipelines, unreliable datasets, and broken handoffs between engineering and analytics. Engineers manually fix data issues, analysts wait for refreshed reports, and leaders make decisions using stale information. As data volumes grow and systems spread across clouds, traditional data practices struggle to keep pace. Consequently, delivery…

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