Summary
Pankaj Jatav is a Senior Data Engineer based in Jersey City with a decade of software engineering experience and an 8+ year focus on backend systems and scalable data platforms. He has driven performance and reliability improvements at large enterprises like PayPal and Verisk and built AI/ML platform components and applications at Migo.ai. His work spans data engineering, production support, and full-stack features—from MongoDB aggregation modules and query optimization that cut load times from minutes to seconds to frontend tools enabling CRUD and ad-hoc SQL for operational teams. Pankaj combines practical ML delivery experience with strong systems thinking, frequently translating research or logs into operational improvements and new data models. He holds a B.Tech in Computer Science and an MS in Computer Science from George Mason University, and brings a pattern-oriented approach to turning complex data workflows into maintainable, high-performance systems. A pragmatic problem-solver, he often surfaces non-obvious gains by instrumenting logs and caches to squeeze latency and reliability wins out of existing infrastructure.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Sharda University
Master's degree, Computer Science, 3.6, Master's degree, Computer Science, 3.6 at George Mason University