Driving end-to-end data quality across listings, pricing, and inventory through scalable frameworks for validation, profiling, and anomaly detection—powered by SQL and Python automation.
Partner with engineering, product, and ops to define data ownership, standardize KPIs, and enforce governance policies.
Supported AWS to GCP migration, ensuring data integrity and performance through automated QA pipelines and reconciliation scripts.
Collaborated with engineering, product, and business stakeholders to define data ownership, access policies, and KPI governance, aligning technical implementation with business objectives.
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