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@medhajain
Experienced Data Engineer blending QA expertise to ensure data reliability.
I am a Data Engineer with more than six years of hands-on experience combining data engineering and QA expertise to deliver reliable, validated data solutions for Finance and Healthcare.
At S&P Global I developed and optimized data ingestion pipelines to extract from APIs, transform using Apache Spark, and load into Oracle, and I designed Spark-based data validation workflows to enforce integrity and reduce latency.
I automated end-to-end CI/CD for Spark jobs using GitLab and integrated Control-M with CI/CD to orchestrate batch jobs, improving operational efficiency and monitoring; previously I led automation testing and QA workstreams at Deloitte and Cognizant.
I bring strong skills across big data technologies, cloud, testing frameworks and observability tools, and I am committed to bridging QA and engineering to deliver accurate, production-grade data for downstream analytics and reporting.
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Work history, roles, and key accomplishments
S&P Global
Jun 2023 - Present (2 years 5 months)
Developed and optimized a Spark-based data ingestion pipeline to extract API data, transform it, and load into Oracle, improving ingestion performance and reducing latency. Implemented Spark data validation workflows and automated GitLab CI/CD and Control-M orchestration for reliable production deployments.
Deloitte Consulting USI
Sep 2021 - Jun 2023 (1 year 9 months)
Managed QA automation and testing across healthcare analytics, clinical, integration, and financial teams, creating and maintaining test cases and TestRail tracking. Integrated automation frameworks with CI/CD (Jenkins/GitLab) to accelerate releases and improve test coverage.
Cognizant Technology Solutions
Oct 2018 - Sep 2021 (2 years 11 months)
Executed load, stress, failover, and endurance testing for healthcare and regulatory reporting systems using LoadRunner and JMeter, improving system reliability. Built and maintained UI/API automation using Selenium with Java and Cucumber BDD and managed defects via industry-standard tools.
Degrees, certifications, and relevant coursework
Master of Technology, Artificial Intelligence and Machine Learning
2023 -
Pursuing Master of Technology in Artificial Intelligence and Machine Learning since June 2023 with focus on applied AI/ML and large-scale data processing.
Bachelor of Technology, Computer Science
2014 - 2018
Completed Bachelor of Technology in Computer Science from DIT University, Dehradun (2014–2018).
Software and tools used professionally
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