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QA Automation Engineer with 4+ years in Automation, Data Validation & API Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Engineer with 4+ years of experience in automation, data validation, and manual testing for large-scale data-driven applications. Skilled in Selenium (Java), API testing, and backend data validation using SQL and Snowflake. Strong understanding of SDLC and STLC, with hands-on experience in test planning, execution, and defect management. Experienced in cross-browser testing, cloud platforms, and Agile methodologies. Focused on delivering high-quality, reliable, and scalable software solutions.
Janta Shikshan Mandal Arts, Science and Commerce college
B.Sc. · INFORMATION TECHNOLOGY
August 1, 2017 – June 30, 2020
Janta Shikshan Mandal Arts, Science and Commerce college
HSC (12th)
June 1, 2015 – May 31, 2017
KES General Arun Kumar Vaidya High School
SSC (10th)
June 1, 2013 – May 31, 2015
Comscore, Inc.
QA ENGINEER
November 1, 2024 – Present
Pune, Maharashtra, India
TATA CONSULTANCY SERVICES
ASSISTANT SYSTEM ENGINEER
September 1, 2021 – November 1, 2024
Pune, Maharashtra, India
Cultural Fit Analysis
The candidate's experience across two companies, including a large-scale service provider (TCS) and a data analytics firm (Comscore), indicates adaptability to different organizational cultures. Their involvement in Agile ceremonies and collaboration on projects suggests a team-oriented approach. The diversity of tools and technologies used (Java, Python, AWS, various databases) points to a broad technical curiosity and willingness to learn, which aligns well with dynamic, innovation-driven environments. The focus on data-driven applications and validation suggests an analytical mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a QA Automation Engineer role, evidenced by their hands-on experience in developing automation frameworks, implementing CI/CD, and managing test cycles within Agile environments. Their descriptions highlight a focus on efficiency, quality, and problem-solving (e.g., identifying discrepancies, improving deployment reliability). The candidate's ability to initiate migration of test plans and build data validation tools suggests proactivity and a drive for process improvement.