Summary
Prashanth Balasubramani is a results-driven Data Engineer with a decade of experience building scalable data pipelines and warehouses across fintech and Web3 streaming platforms. He has hands-on expertise migrating legacy systems to cloud-native architectures, optimizing Redshift and Airflow workflows, and implementing event-driven models that cut pipeline downtime by 90% and improved query performance by 30%. Early experience with Hadoop MapReduce, Ab Initio, and HDFS combined with graduate-level teaching and cloud benchmarking work at Indiana University gives him a solid foundation in both theory and production. At Rad NFTv he translates product and marketing needs into KPIs and dashboards that directly inform business decisions, demonstrating a strong product-oriented mindset uncommon among backend engineers. Known for collaborative, customer-focused execution, he thrives in cross-functional teams and offshore–onsite models to deliver measurable impact.
10 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.), Computer Science, 3.38 / 4.0, Master of Science (M.S.), Computer Science, 3.38 / 4.0 at Indiana University Bloomington
Bachelor of Engineering (B.E.), Computer Science and Engineering, 8.12/10, Bachelor of Engineering (B.E.), Computer Science and Engineering, 8.12/10 at Kongu Engineering College
English, Tamil