STAR: SITUATION—No standardized data quality; downstream report errors and manual validation. TASK—Own the design and rollout of a DQ framework. ACTION—Designed rules with stakeholders; implemented Great Expectations and dbt tests; integrated into CI/CD; built monitoring dashboards; presented to other teams who adopted it. RESULT—60% reduction in data incidents; 20 hours/week saved on manual checks. LEADERSHIP: Drove cross-team adoption. DATA-DRIVEN: Tracked incident rates before/after....
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