Validate ETL mappings, workflows, and transformations to ensure compliance with business and technical requirements.
Perform source-to-target validation by conducting SQL-based data checks to verify completeness, accuracy, and data integrity.
Execute ETL test cycles, including data-quality checks for both full and incremental data loads.
Lead defect triage sessions, facilitating timely resolution and communication among development, business, and QA teams.
Utilize Informatica PowerCenter for ETL validation, debugging, and workflow monitoring.
Apply ETL and data-warehousing concepts, demonstrating a strong understanding of principles, architecture, and best practices.
Use Unix/Linux commands for job monitoring, log analysis, and operational support.
Leverage Python and AI expertise to support automation, data validation, and advanced testing scenarios.
Analyze and document test data, results, and recommendations to aid decision-making.
Support integrated testing by creating and maintaining test data, training data, and automated scripts.
Drive continuous improvement by reviewing testing processes and recommending enhancements.
