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QA Engineer with 5+ years in Python Automation & Data Warehousing
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Assessing your cultural and operational fit
Results-driven Python Automation -ETL / Data Warehouse QA Engineer with 5.8 years of experience designing and executing end-to-end data validation frameworks across cloud-scale environments. Proven expertise in Python-driven test automation, Snowflake validation, DBT Unit testing. Adept at translating complex business data requirements into rigorous test strategies that eliminate production defects, accelerate release cycles, and ensure regulatory data integrity. Recognized for building reusable Python automation frameworks - regression suites, metadata validators, schema checkers - that reduce manual testing effort significantly. Comfortable working asynchronously in distributed, remote-first teams across global time zones.
Nagarjuna College of Engineering and Technology
Bachelor of Engineering (B.E.) · Visvesvaraya Technological University (VTU)
August 1, 2014 – June 30, 2018
Infosol Technosol
QA Analyst / Python ETL Tester
May 1, 2022 – Present
India
Intechfy Solutions
QA Analyst / Python ETL Test Automation
October 1, 2020 – March 1, 2022
London, England, United Kingdom
Cultural Fit Analysis
The candidate's experience across two companies, both focusing on similar ETL QA and Python automation roles, indicates a clear career path and specialization. Their involvement in projects for 'Capital Markets Data Platform' (LSEG) and 'Enterprise Data Warehouse' (Flipkart) shows exposure to different industry domains. The emphasis on building reusable frameworks and integrating tests into CI/CD suggests a proactive and efficiency-driven mindset, aligning well with modern engineering cultures. The candidate's experience in global collaboration across different time zones further enhances their cultural adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in Agile/Scrum methodologies, defect tracking with JIRA, and collaboration with data engineers and product owners. Their ability to work in distributed, remote-first teams and manage independent workstreams indicates self-direction and accountability. The resume highlights strong written and verbal communication skills for technical documentation and defect reporting, which are crucial for a senior QA role.