- Support end-to-end data migration efforts between legacy and target systems
- Extract, map, transform, and load (ETL) data
- Validate migrated data to ensure completeness, accuracy, and consistency
- Analyze and identify data inconsistencies, duplicates, and errors
- Implement data quality checks, validation rules, and monitoring processes
- Investigate and troubleshoot data discrepancies across systems
- Perform root cause analysis and recommend corrective actions
- Create reports and dashboards to highlight data quality metrics
- Maintain clear documentation of data processes, definitions, and standards
- Participate in testing cycles (UAT, system testing)