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QA Automation Engineer with 3+ years in data warehousing & automation testing.
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Results-driven ETL/ELT Tester with over 3.4 years of experience in data warehousing, data validation, and automation testing. Specialized in Property and Casualty (P&C) and Commercial Automobile Insurance domains. Demonstrated expertise in designing and optimizing automated test frameworks, which improved ETL pipeline efficiency by 25%. Proficient in SQL, Java, Python, and ETL tools such as Informatica, Talend, Ab Initio, and SSIS. Skilled in validating REST APIs and schema integrity to ensure accurate integration of backend and frontend systems.
Loyola Academy
B.Sc. · Computer Data Science & Data Analytical Engineering
July 1, 2018 – July 1, 2020
Infosys
Senior Systems Associate - ETL Tester
December 1, 2021 – April 1, 2025
Hyderābād, Telangana, India
Property & Casualty Claims Testing - Insurance Sector
December 1, 2021 – April 1, 2025
Developed and executed end-to-end ETL test cases for the P&C claims lifecycle, covering FNOL and settlement processes. Validated data accuracy and compliance by integrating legacy systems with Guidewire Claim Center, achieving a 95% success rate in claims processing.
Commercial Auto Insurance Policy Testing
December 1, 2021 – April 1, 2025
Built comprehensive test suites to validate commercial vehicle insurance policy information, coverages, and premium calculations. Ensured effective integration with Department of Motor Vehicle (DMV) databases and enhanced underwriting rules, improving processing speeds by 20%.
Enterprise Data Migration - Banking Sector
December 1, 2021 – April 1, 2025
Validated over 10TB of financial and customer data during the migration from legacy systems to modern platforms, ensuring compliance and data accuracy with a 99.5% validation success rate.
ETL Performance Optimization - E-commerce
December 1, 2021 – April 1, 2025
Analyzed and resolved batch processing bottlenecks, implementing indexing and query optimizations that reduced ETL job run times by 30%, significantly enhancing overall system performance.
Automated Data Quality Framework
December 1, 2021 – April 1, 2025
Designed a scalable Python-based framework focused on schema drift and null checks, improving error detection rates by 50% and facilitating multi-project usability.
Data Warehousing Fundamentals
Infosys Internal
June 1, 2026 – Present
Python for Data Analysis
Coursera/Udemy
June 1, 2026 – Present
SQL for Data Science
EdX/IBM
June 1, 2026 – Present
ISTQB Foundation Level
Infosys Internal
June 1, 2026 – Present
Guidewire Certification
Infosys Internal
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity across insurance, banking, and e-commerce sectors, coupled with a strong focus on data integrity and automation, suggests adaptability and a broad technical interest. Their certifications and continuous learning initiatives (Python for Data Analysis, SQL for Data Science) indicate a self-motivated and technologically curious individual, which is a positive cultural fit for dynamic engineering environments. The experience at Infosys, a large service-based company, implies an ability to work in structured environments and collaborate effectively.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, effective communication and collaboration, and an agile mindset. Their experience in optimizing processes and developing automated frameworks indicates a proactive and results-driven approach, which aligns well with operational efficiency and team collaboration in a senior QA role.