Summary
Avinash Venugopal is a data technologist and engineering leader with nine years of experience building secure, standardized data platforms and ML/AI solutions across finance and industrial domains. He has driven measurable impact at scale—optimizing >100M-row analytical workloads and cutting ~$3M in Snowflake compute spend while overseeing releases, code quality, and DORA metrics for card-product analytics. Comfortable hands-on from PySpark and Snowflake to Python/Java backends and Talend pipelines, he has also led data-exchange and ETL initiatives at GE Power and automated research-grade data collection for supply-chain studies. Based in Dallas, he combines rigorous academic training (MSCS, MS MIS) with a talent for coaching junior engineers and shipping the right architecture the first time. Less visible is his pattern of pairing cost-conscious performance tuning with production-grade controls, making systems both efficient and auditable.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
American High School Diploma, American High School Diploma at International School of Prague
Master of Science - MS Management Information Systems, Master of Science - MS Management Information Systems at University at Buffalo
Bachelor of Engineering - BE Computer Science and Engineering, Bachelor of Engineering - BE Computer Science and Engineering at PSG College of Technology
English, Hindi, Malayalam, French