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ETL Developer with 6+ years in Cloud & Data Warehousing
Accomplished software testing professional with over 5.7 years of experience in delivering high-quality solutions and ensuring application reliability. Specialized in cloud-based testing, leveraging AWS S3, Azure Data Factory, and Snowflake to validate data pipelines and optimize ETL processes. Proficient in designing, implementing, and executing test plans and test cases for data warehouses, cloud applications, and BI reporting environments. Skilled in validating integration across multiple cloud services, ensuring data accuracy, transformation correctness, and seamless workflow operations. Experienced in applying data governance, compliance standards, and industry best practices to enhance testing quality and maintain regulatory alignment. Adept at fostering collaborative team environments, mentoring junior testers, and implementing process improvements to optimize testing efficiency and operational performance.
GMIT
Bachelor of Engineering · Mechanical
August 1, 2017 – Present
Deloitte USI
ETL Process Verification
January 1, 2026 – Present
Bengaluru, Karnataka, India
Carelon Global Solutions India
Data Pipeline Testing & Validation
January 1, 2020 – December 31, 2025
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate has worked for large, reputable companies (Deloitte USI, Carelon Global Solutions India) and has experience in diverse projects involving multiple cloud platforms and data technologies. This breadth of experience and exposure to different organizational structures suggests a good cultural fit for dynamic and evolving technical environments. Their emphasis on collaboration and compliance further supports their ability to integrate into structured team settings.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Team Collaboration, Communicator, Agility, Adaptability, and Change Agent. Their experience descriptions emphasize coordination with business analysts, developers, and QA teams, resolving technical issues, and ensuring compliance, which suggests a good operational fit for collaborative environments. The focus on process improvement and proactive monitoring indicates a proactive and adaptable work attitude.