QA Engineer with 5+ years in data validation and ETL testing
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Result-oriented QA Engineer with 5+ years of experience in UI Testing, Regression, Functional, Non Functional, ETL/Data Testing, specializing in data validation, data warehousing, and end-to-end testing of complex data pipelines. Strong expertise in SQL, MongoDB, and modern data platforms including Redpanda and Rancher. Proven ability to identify data discrepancies, ensure referential integrity, and improve data quality across distributed systems. Experienced in Agile environments with strong collaboration across data engineering and business teams.
MIT Academy of Engineering, Pune
Bachelor of Technology · Computer Engineering
N/A – June 30, 2020
Government Polytechnic, Nashik
Diploma · Computer Technology
N/A – June 30, 2017
Newscape Consulting
QA Engineer
April 1, 2025 – Present
India
Vicon Industries
QA Engineer
November 1, 2020 – March 31, 2025
India
Cultural Fit Analysis
The candidate's experience across two companies, both in QA Engineer roles, shows consistency in career path. Their involvement in Agile ceremonies and collaboration with data engineers and analysts indicates a team-oriented approach. The projects involve complex data systems (healthcare, video surveillance), suggesting adaptability to different domains. The breadth of technical skills aligns well with a dynamic, data-intensive environment, indicating a good cultural fit for organizations valuing robust data quality and collaborative problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, excellent attention to detail, and effective communication and collaboration, which are crucial for a senior QA Engineer role. Their experience in Agile environments suggests good operational fit for modern development teams. The resume highlights time management and ownership, indicating a proactive approach to work.