- Data Warehouse Testing, ETL/ELT Testing, Data Lake Validation, and Data Migration Testing
- Source-to-Target Data Reconciliation and Data Quality Validation
- Robust experience in building automated data validation and reconciliation frameworks
- Metadata-driven testing framework design and implementation
- Automated Record Count Reconciliation across large-scale data platforms
- Automated Data Completeness, Duplicate, Null, Data Integrity, and Schema Validation
- Business Rule Validation Automation and Data Profiling
- Advanced SQL for data analysis and validation
- Python for QA automation and data validation frameworks
- PySpark for large-scale data validation and reconciliation