Summary
Nadya Pena is a data engineer with 11 years of experience building production data pipelines and predictive models, currently applying her skills at the NBA. She blends a Computer Science foundation with hands-on expertise in Hadoop, Spark, Python, C#, and JavaScript to turn messy, imperfect data and infrastructure into reliable analytics. Her background in equity derivatives and trading systems taught her to optimize performance and reduce latency—once cutting a 15-minute wait to ~2 seconds through concurrency and caching improvements. Known for strong communication with stakeholders and a curiosity-driven approach to problem solving, she pairs statistical rigor with creative data modeling. Outside of work she balances engineering with diverse interests—woodworking, learning Japanese, and even homesteading projects—reflecting a pragmatic, maker mindset.
11 years of coding experience
5 years of employment as a software developer
Memorial High School
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at The College of New Jersey
English, Spanish, Japanese