Jay Kaiser is a Staff Data Engineer with eight years of experience building and optimizing large-scale data pipelines using Spark, Python, Scala, and SQL, grounded in an MS/BS in Computational Linguistics from Indiana University. He has transformed terabytes of messy game telemetry and education data into reliable analytics assets, balancing performance, readability, and relational design for downstream analysts and data scientists. Comfortable working with remote teams, he has progressed through roles at ZeniMax and Education Analytics, delivering production systems that integrate diverse files, APIs, and databases. His NLP and corpus-based background gives him a distinctive edge for structuring human-centered data products and prototyping semantic solutions. Colleagues rely on him for persistent, collaborative problem solving and pragmatic system trade-offs that prioritize long-term maintainability.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS / Bachelor of Science - BS Computational Linguistics, Master of Science - MS / Bachelor of Science - BS Computational Linguistics at Indiana University Bloomington
Contributions:14 reviews, 35 commits, 14 PRs in 2 months
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