- Python (pandas, PySpark)

- Developed and maintained automated tests using Python, pytest, and Playwright for UI, API, and data validation scenarios

- Built automated validation workflows using pandas and PySpark to verify data integrity, business rules, and end-to-end flows

- Performed API testing for backend services, validating response payloads, status codes, and integration behavior

- Supported CI/CD workflows using GitHub Actions and integrated Allure Report for test execution reporting

- Contributed to testing of RAG-based and backend-driven functionality, focusing on system reliability and validation quality

- Collaborated with cross-functional teams to investigate defects, validate fixes, and improve test coverage across critical workflows

Tech stack: Python, pytest, Playwright, pandas, PySpark, API Testing, CI/CD, GitHub Actions, Allure Report, FastAPI, SQL

- Led QA team activities and supported delivery quality across the project lifecycle

- Executed functional, regression, smoke, and end-to-end testing for data-intensive and backend-driven applications

- Performed backend, ETL, and data validation testing to ensure accuracy, integrity, and consistency of data pipelines

- Built and executed complex SQL validation scripts for backend testing, reconciliation, and data quality verification

- Validated Power BI reports, dashboards, metrics, and business rules to ensure reporting accuracy

- Tested cloud-based data integrations and workflows using AWS services, including S3, Athena, and DMS

- Verified data consistency across Oracle and Snowflake environments

- Contributed to QA process improvements, testing standards, and technical interviewing activities

- Mentored team members and supported knowledge sharing across QA activities

Tech stack: SQL, ETL Testing, Data Validation, Regression Testing, Smoke Testing, E2E Testing, AWS, S3, Athena, DMS, Oracle,Snowflake, Power BI

- Analyzed requirements and defined effective test coverage for functional, backend, and data validation scenarios.

- Created detailed test cases, prepared structured test data, and executed end-to-end validation across key workflows.

- Performed feature, regression, and smoke testing to support stable releases and reliable system behavior.

- Executed ETL testing and backend data verification to validate transformation logic and processing accuracy.

- Wrote and ran complex SQL scripts for database validation, transformation checks, and reconciliation testing.

- Supported testing of AWS-based workflows using S3, Step Functions, Lambda, and CloudWatch.

- Verified data accuracy and consistency in PostgreSQL and Snowflake environments.

Tech stack: SQL, ETL Testing, Functional Testing, Regression Testing, Smoke Testing, AWS, S3, Step Functions, Lambda, CloudWatch, PostgreSQL, Snowflake, PySpark

- Reviewed and analyzed requirements to define effective API, integration, and automation test coverage.

- Designed and executed functional, regression, smoke, and end-to-end test scenarios.

- Developed reusable automated checks to improve testing efficiency and reduce manual effort.

- Performed API testing in Postman, validating endpoints, payloads, response codes, and business rules.

- Prepared and maintained test data for API and system validation.

- Tested Azure-based services and integrations, including Purview, Application Insights, Event Grid Topic, and Logic Apps.

- Managed defects end-to-end, including defect reporting, investigation support, retesting, and closure validation.

- Supported acceptance testing and communicated clear test results to stakeholders.

Tech stack: API Testing, Postman, Integration Testing, Automation Testing, Regression Testing, Smoke Testing, Azure, Purview, Application Insights, Event Grid, Logic Apps

- Led QA activities across the project lifecycle and supported the team in delivering high-quality releases.

- Created Test Plan and Test Strategy to define scope, risks, test approach, and validation activities.

- Performed ETL and backend testing for Oracle-to-SQL Server data pipelines.

- Built and executed SSIS packages for QA validation, data preparation, and process verification.

- Analyzed business requirements and translated them into structured testing scenarios.

- Developed and executed complex SQL validation scripts for backend logic, reconciliation, and data consistency.

- Tested MicroStrategy cubes, reports, and dashboards to validate reporting logic and data integrity.

Tech stack: SQL, SSIS, ETL Testing, Backend Testing, Test Planning, Test Strategy, Oracle, SQL Server, MicroStrategy

- Tested CRM migration processes implemented with SQL Server Integration Services (SSIS).

- Designed and executed test scripts to validate migration logic, data transformations, and end-to-end process reliability.

- Created and maintained custom SSIS packages to support QA validation and migration testing.

- Performed ETL testing to verify accurate extraction, transformation, loading, and overall data integrity.

- Investigated backend data issues and supported validation of migration results across systems.

Tech stack: SSIS, SQL, ETL Testing, Migration Testing, Backend Validation, Data Integrity Testing

- Designed and executed validation scripts for historical data loads into hive.

- Performed ETL testing to verify transformation logic, completeness, and end-to-end data integrity.

- Created and maintained smoke tests in Integrity Manager for critical functionality validation.

- Performed daily verification of loaded data in hive and validated its correct representation in the MicroStrategy UI.

- Tested MicroStrategy dashboards and reports to confirm data consistency, reporting logic, and business rule compliance.

Tech stack: Hive, SQL, ETL Testing, Smoke Testing, Integrity Manager, MicroStrategy, Data Validation

- Designed and executed test scenarios for historical data migration from Oracle and Netezza to Hive.

- Performed ETL testing in Hive to validate transformation logic, completeness, and consistency of migrated data.

- Collaborated with stakeholders to analyze and refine business and technical requirements.

- Developed a Java-based utility that automatically generated SQL-based tests for ETL validation.

- Improved QA efficiency by reducing manual effort and optimizing testing time through automation.

Tech stack: Java, SQL, ETL Testing, Hive, Oracle, Netezza, Migration Testing, Automation