Summary
Prabhjot Singh is a data engineering manager with a decade of experience building large-scale data platforms and regulatory reporting systems across finance and healthcare. He combines hands-on expertise in Java, Hadoop, Spark, and Python-based ML with a background in full-stack AngularJS/MeteorJS development, enabling him to bridge data pipelines, analytics, and user-facing applications. At Deutsche Bank he maintained regulatory reporting pipelines and implemented anomaly detection models, then progressed through senior data engineering roles at Capital One and FanDuel where he now leads data engineering efforts. He holds an MS in Analytics from Georgia Tech and a BS in Electrical and Computer Engineering from Rutgers, pairing strong theoretical foundations with practical production delivery. Colleagues describe him as a pragmatic problem-solver who translates complex requirements into auditable, scalable systems while still writing the code to prove it.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS Analytics - Computational Data Analytics Track, Master of Science - MS Analytics - Computational Data Analytics Track at Georgia Institute of Technology
Bachelor of Science (B.S.) Electrical and Computer Engineering, Bachelor of Science (B.S.) Electrical and Computer Engineering at Rutgers University
English, Hindi, Punjabi