- 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.
