Summary
Chandra Guntupalli is a data engineer with 12 years of experience and a strong focus on cloud-native analytics, currently building large-scale training and certification analytics systems at Amazon/AWS. He has 5+ years of hands-on experience designing hybrid data pipelines, automated testing and deployment workflows, and data quality alerting across Azure, AWS, and Databricks environments. Past roles at Sam’s Club and Walmart emphasize delivering mission-critical metrics, implementing Deequ-based checks, and operationalizing PySpark/Scala pipelines for enterprise planning and budgeting. Chandra pairs a solid academic foundation (MS in Computer Science from UT Dallas) with practical full-lifecycle delivery, from ETL design to SLA monitoring. He brings a developer-first mindset informed by earlier front-end work, giving him a cross-stack perspective on data product usability. Based in Beaverton, OR, he combines cloud engineering rigor with an eye for reliable, testable data platforms that scale.
12 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at The University of Texas at Dallas
Bachelor's of Technology Computer Science, Bachelor's of Technology Computer Science at National Institute of Technology Calicut
Hindi, Telugu, English