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QA Engineer with 7+ years in Data Validation, API Automation & Cloud Platforms
Senior ETL QA Engineer with over 8+ years of experience in ETL/data validation, API automation, and performance testing across complex data platforms. Skilled in Python-based test automation, modern tools like Playwright, Rest Assured, and Robot Framework, and proficient in validating large datasets using SQL on GCP BigQuery. Adept at leveraging CI/CD pipelines, Agile methodologies, and cloud-native technologies like Airflow, Dataflow, Pub/Sub, DataPlex, and DataPlex to ensure data integrity and system reliability. Designed and executed comprehensive test plans for ETL processes, ensuring high data integrity across structured and unstructured data sources. Developed and maintained automated test scripts using Python, Robot Framework, Playwright, and Rest Assured. Validated complex SQL queries to perform data verification in large-scale cloud data platforms such as Google BigQuery. Performed API testing (both manual and automated) to ensure compliance with RESTful standards and functional accuracy. Executed performance testing scenarios using tools such as K6 and JMeter to evaluate data flow efficiency and system responsiveness. Created reusable automation frameworks integrated with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions). Participated in Agile ceremonies, collaborated with cross-functional teams, and managed defect lifecycle through JIRA or Azure DevOps. Conducted dataflow validation, Pub/Sub, DataPlex streaming checks, and end-to-end testing of GCP-native data processing systems.
Optum
ETL QA Engineer
May 1, 2025 – Present
Eden Prairie, Minnesota, United States
Morgan Stanley
ETL QA Engineer
October 1, 2024 – April 1, 2025
New York City, New York, United States
CBRE
ETL QA Engineer
June 1, 2023 – September 1, 2024
Houston, Texas, United States
Sonata Software
ETL QA Engineer
September 1, 2018 – November 1, 2021
Hyderābād, Telangana, India
Value Labs
ETL Tester
June 1, 2017 – August 1, 2018
Hyderābād, Telangana, India
Cultural Fit Analysis
The candidate's experience across multiple companies (Optum, Morgan Stanley, CBRE, Sonata Software, Value Labs) and diverse project domains (healthcare, finance, general data platforms) suggests adaptability and a willingness to engage with different organizational cultures and technical challenges. Their consistent involvement in Agile methodologies (Scrum/Kanban) and collaboration with cross-functional teams (data engineers, developers, business analysts) indicates a team-oriented approach. The breadth of tools and technologies used (GCP, Python, various automation frameworks, CI/CD) also points to a continuous learning mindset, which is a strong cultural fit for dynamic tech environments. The candidate's focus on data integrity, compliance (HIPAA, GDPR), and security aligns with a culture that values quality and responsibility.
Soft Skills & Operational Fit
The candidate's resume indicates strong collaboration skills through participation in Agile ceremonies and working with cross-functional teams. Their experience in defect tracking and root cause analysis suggests a methodical and problem-solving approach. The consistent use of CI/CD pipelines and automation tools points to an operational mindset focused on efficiency and continuous improvement. The candidate's ability to work in diverse environments (healthcare, finance) and with various cloud services (GCP) demonstrates adaptability and a broad operational fit.