Define and implement comprehensive Data QA/ETL testing strategies
Establish QA governance frameworks and quality gates across SDLC/Agile lifecycle
Develop test plans, scenarios, data strategies, and acceptance criteria
Lead validation of large-scale datasets across multiple zones
Oversee ETL and data pipeline testing
Drive automation opportunities for data quality and regression testing
Manage functional, integration, regression, UAT, and production validation cycles

Results-driven data quality and ETL testing specialist
Experience in leading end-to-end QA strategies
Strong focus on governance, automation, and risk-based testing
Skilled in validating complex datasets across cloud, big data, and traditional platforms
Proficient in ETL testing, data reconciliation, lineage checks
Strong Financial Services and Insurance domain expertise, especially in Property & Casualty and Reinsurance

Data Tester – Onshore

Key skills