Ashok Choppadandi is a Lead Software Engineer with a decade of hands-on experience in big data and distributed systems, specializing in Hadoop, Spark, Kafka, and cloud-native deployments. He has led cross-functional teams to productionize data governance (Apache Atlas), migrate Spark versions to leverage Adaptive Query Execution, and modernize CI/CD with Docker, Bamboo and JFrog Artifactory. Known for cutting long-running ETL jobs from days to hours, he combines deep performance tuning with practical automation—creating Helm charts, Kubernetes manifests and Airflow pipelines for reliable deployments. His career spans enterprise firms like Epsilon, J.P. Morgan and Nielsen, where he built real-time Kafka Streams solutions, Spark Structured Streaming pipelines, and migration strategies from Oracle to Hadoop/ADLS. A certified Hadoop & Spark developer and mentor, he emphasizes DevOps culture and developer productivity, having created developer-ready Docker images and reproducible builds. Off the obvious path, he pairs this platform work with data engineering curiosity—implementing Spark unit testing and custom Hadoop IO formats to improve quality and throughput.
9 years of coding experience
7 years of employment as a software developer
Master of Technology - MTech, Information Technology, A+, Master of Technology - MTech, Information Technology, A+ at JNTUH College of Engineering Jagityala
Bachelor of Technology - BTech, Computer Science, A+, Bachelor of Technology - BTech, Computer Science, A+ at BV Raju Institute of Technology (BVRIT)
This repository should have the environments - Physical, Virtual & Containers required for development
Contributions:27 PRs, 169 pushes, 34 branches in 5 years 6 months
containersgitpodremote-developmentdockerphysical
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