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Senior Automation Engineer with 10+ years in Agile Testing & Data Validation
Senior QA Engineer with 8 years of experience, currently working on the reporting side, handling both standard and custom reports. Skilled in Agile methodology to ensure timely delivery of high-quality solutions. Experienced in validating data integrity and correctness across various reports using tools like SQL and Excel. Possess knowledge of test automation to enhance testing efficiency. Proven ability to identify discrepancies, improve testing processes, and collaborate effectively with cross functional teams to deliver accurate, reliable, and user - friendly reporting outputs.
University College of Engineering
B-Tech · Computer Science
N/A – June 30, 2013
INAPP Technologies Technopark
SENIOR QA ENGINEER
May 1, 2024 – Present
India
AOT Technologies
SENIOR QA ENGINEER
June 1, 2021 – April 30, 2024
India
Tata Consultancy Services
SOFTWARE ENGINEER
January 1, 2014 – January 1, 2018
India
Introduction to DevOps Tools
Unknown
June 1, 2026 – Present
Advanced Selenium Testing Framework with Java
Unknown
June 1, 2026 – Present
Web driver IO-Complete Beginner Course
Unknown
June 1, 2026 – Present
ILP Training in C++
Unknown
June 1, 2026 – Present
ISTQB Foundation Level Certification from ITB
ITB
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse roles across different companies (INAPP Technologies, AOT Technologies, Tata Consultancy Services), demonstrating adaptability. Their experience spans both development and QA, showing a broad understanding of the SDLC. The certifications in DevOps tools and various testing frameworks indicate a commitment to continuous learning and staying updated with industry trends. The mention of awards and recognition suggests a positive attitude and team-oriented approach, contributing to a good cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights experience in team leadership, mentoring, and collaboration with cross-functional teams, indicating good soft skills for operational fit. Their involvement in requirement analysis, bug tracking, and project management also suggests a structured and organized approach to QA processes. The ability to identify discrepancies and improve testing processes points to a proactive and problem-solving mindset.