Sanjay Kumar Das

• Led and mentor a 15-member QA team, managing automation, data validation, and release processes.
• Designed ETL automation framework leveraging DBT, Airflow & Python, improving efficiency by 30%. Also developed CI/CD pipelines as needed.
• Orchestrated and Ensured BDD-based automation framework (Pytest BDD) implementation using Playwright and Selenium achieving 40% faster regression cycles.
• Deep expertise in establishing Quality metrics KPIs, feedback loops, with a sharp focus on data integrity, regulatory compliance, and delivery excellence.
• Experience with Salesforce ticketing system (ZENDESK), JIRA, automating support processes and improving issue resolution efficiency.

•Experienced in SQL and Excel for data validation and reporting, Role-based Access control testing (RBAC).
• Performed comprehensive API testing and automation using Swagger by validating RESTful endpoints and verifying data integrity across XML and JSON payloads.

•Drove performance and reliability validation using JMeter and Locust

• Led ETL validation & SQL-based data integrity checks for large-scale projects
• Automated regression test suites, improving defect detection rates in UAT
• Ensured compliance with STLC & SDLC best practices, reducing defect leakage by 15%

• Managed data migration testing using Informatica DVO, ensuring data integrity
• Ensured compliance with STLC best practices, reducing defect leakage by 20%
• Used Jira & HP ALM for test case management and defect tracking

• Developed scalable applications using agile methodologies for timely project delivery
• Prepared SQL Queries to validate whether Source data matches the Target Data once data load is done by ETL tool: Informatica PowerCenter 9.6.1

• Reviewed at least 30 test cases and test scripts for quality and identified additional areas to review
• Doing Retesting and Regression Testing for every weekly and quarterly release of the software

• Responsible for monitoring jobs in Tidal Scheduler and do the recovery for any job failure Identifying the bug in program and providing permanent fixes for it
• Improved application performance with optimization of database queries, ensuring smooth and efficient data retrieval