Summary
Mayank Lamba is a software engineer with 10 years of experience building scalable data systems and production pipelines, currently based in Kirkland, WA. He holds advanced CS degrees from NYU and has deep hands-on expertise in Spark, Kafka, Kubernetes, Helm, and Docker, having tuned pipelines to improve throughput by over 40% and redesigned backend flows to eliminate redundant AutoML computations. His background spans data engineering, DevOps, and teaching—he’s built Lucene index servers, deployed Zeppelin on standalone Spark clusters for faster QA, and has taught high-performance computing and big data tutorials at NYU. Driven by a user-centric approach formed during his NYU studies, he focuses on solving real problems with reliable, maintainable systems and a knack for decoupling components to boost reliability and scalability.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 3.77/4.0, Master of Science - MS, Computer Science, 3.77/4.0 at New York University
Sachdeva Public School, Pitampura
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at NYU Center for Data Science
Bachelor of Technology (BTech), Information Technology, Bachelor of Technology (BTech), Information Technology at Guru Gobind Singh Indraprastha University