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Quality Engineering Analyst with 5+ years in ETL testing & Cloud Data Platforms
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Assessing your cultural and operational fit
Quality Engineering Analyst with 5+ years of experience in ETL testing, Data warehouse validation, and cloud-based data platforms. Strong expertise in the healthcare domain (Medicare, Medicaid, Claims, Provider, Clinical data). Proficient in SQL, Python, and modern data tools including Azure, Salesforce Data Cloud, Snowflake, and Databricks. Experienced in Agile and Waterfall methodologies with a focus on delivering high-quality, scalable data solutions.
Muffakham Jah College of Engineering
Bachelor of Engineering (B.E.) · Computer Science Engineering
N/A – June 30, 2014
Infosys Ltd
Quality Engineering Analyst
January 1, 2022 – Present
Hyderābād, Telangana, India
Google India (Payroll of Intelenet Services Ltd)
QA Engineer
October 1, 2014 – January 1, 2016
Hyderābād, Telangana, India
Infosys Certified Cloud Testing Professional
Infosys
June 1, 2026 – Present
Infosys Certified Big Data Testing Professional
Infosys
June 1, 2026 – Present
Infosys Certified Databricks Professional
Infosys
June 1, 2026 – Present
Infosys Certified Manual Testing Professional
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple projects for healthcare clients at Infosys Ltd, coupled with their earlier role at Google India, indicates adaptability to different project environments and client needs. Their certifications in Cloud Testing, Big Data Testing, Databricks, and Manual Testing suggest a commitment to continuous learning and professional development. The diversity of tools and platforms used (Azure, Salesforce, Snowflake, Databricks, Pega, Oracle DB) points to a broad technical exposure, which is beneficial for cultural fit in dynamic engineering teams. The focus on data integrity and quality aligns well with a quality-driven culture.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in creating test scenarios, test data, and executing test cases based on business requirements. Their collaboration with stakeholders for requirement analysis and defect resolution indicates good teamwork and communication skills. The ability to handle high-priority deliverables within tight deadlines suggests good time management and stress handling. The focus on automation using Python shows a proactive approach to improving efficiency.