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QA Engineer with 5+ years in ETL Testing & Data Warehousing
Having 5+ years of Experience in Software testing which includes ETL Testing, AWS, Azure, ADF, DB Testing, Big data, Manual Testing and Snowflake, SQL, Automation, Python. Hands on Experience in Informatica, Jira, ADB. Good knowledge on Data warehouse concepts and Transformation logics. Good understanding of Software Development Life Cycle (SDLC), Defect Life Cycle and Software Testing Life Cycle (STLC). Responsible for Requirement analysis, Test cases creation, Test case execution, Defect Logging, defect analysis, and status report generation. Hands on extensive experience in writing database Queries. Used ETL process to Extract, Transform and Load the data into stage area and data warehouse. Good Knowledge on Data Warehousing concepts like Star Schema, Dimensions and Fact tables. Experience in different types of testing like System Testing and Regression Testing. Preparation and presentation of status reports to stake holders. Having good knowledge of creating tables and loading data in HIVE. Having good knowledge on Snowflake database. Having good knowledge on Time travel, Failsafe, Virtual warehouse, Continues data loading, Bulk data loading and scheduling task in Snowflake database.
V S University, Nellore
Bcom (computer) · Computer Applications
N/A – June 30, 2020
HiLabs
Senior QA Engineer
March 1, 2025 – April 1, 2026
Bengaluru, Karnataka, India
Globant
ETL-Tester
December 1, 2023 – February 1, 2025
Bengaluru, Karnataka, India
B Cube Infotech
ETL Tester
December 1, 2020 – November 1, 2023
Hyderābād, Telangana, India
Cultural Fit Analysis
The candidate has worked with diverse clients (Elevance Health, Société Générale, Anthem) across different industries (healthcare, finance), indicating adaptability to various organizational cultures and project contexts. The consistent focus on ETL testing and data quality across roles suggests a specialized skill set that aligns well with data-driven companies. The breadth of tools and technologies used (Informatica, Azure, Snowflake, Python) also points to a willingness to learn and adapt to new technical environments.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit for a QA Engineer role, particularly in data-intensive environments. Their experience highlights strong collaboration with BA and Dev teams, participation in daily scrums, and status reporting, indicating good teamwork and communication within a project lifecycle. The focus on requirement analysis and defect management suggests an organized and thorough approach to quality assurance.