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QA Engineer with 4+ years in ETL Data Validation and Functional Testing
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Quality Engineer Analyst with 4+ years of experience in ETL data validation and functional testing across Life Sciences data platforms and web applications. Strong in SQL-based data validation, completeness, and transformation correctness across cloud and database systems in Agile environments.
RNS Institute of Technology
Bachelor of Engineering · Mechanical Engineering
August 1, 2017 – June 30, 2021
City Montessori School
ISC
June 1, 2015 – May 31, 2016
City Montessori School
ICSE
June 1, 2013 – May 31, 2014
Accenture
Quality Engineer Analyst
December 1, 2021 – Present
India
SQL (Basic)
HackerRank
June 1, 2026 – Present
Python (Basic)
HackerRank
June 1, 2026 – Present
FY 25 Copilot Hackathon Quarter Finalist
Unknown
January 1, 2025 – Present
FY23 ATCI NA Pinnacle Award – Excellence in Automation, SME Knowledge & Delivery
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience across multiple projects (Pharmaceutical Data ETL, Sales Communication Web App, Scholarship Management Web App) demonstrates adaptability and exposure to different business contexts. The 'FY 25 Copilot Hackathon Quarter Finalist' certification suggests an interest in innovation and AI, which aligns with forward-thinking cultures. The 'Excellence in Automation' award indicates a value for efficiency and continuous improvement. While the core experience is in QA, the mechanical engineering background and basic Python/SQL certifications show a foundational technical curiosity. The candidate appears to fit well into a culture that values technical rigor, continuous learning, and process optimization.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude by suggesting improvements in test execution processes and innovative ideas for applications. The use of Gen-AI-assisted tools indicates an openness to adopting new technologies for efficiency. Experience in coordinating with development teams suggests good collaboration skills. The 'Excellence in Automation' award, while not detailed, hints at a drive for efficiency and process improvement.