Summary
Max Mckittrick is a Senior Data Engineer with nine years of experience building scalable data platforms and production pipelines, currently driving data initiatives at Pave after senior roles at Capital One and the Federal Reserve. He specializes in Python and Go, having built an Airflow-based feature platform and orchestration APIs that serve hundreds of production models. His background blends materials science and library/information science, which informs a rigorous approach to metadata, text mining, and information architecture. An active open-source contributor (including projects like Ruffle and soundgen) and avid reader of papers on NLP, web scraping, and audio synthesis, he brings research curiosity to practical engineering problems. Known for treating “web scraping as an aesthetic,” he pairs high-throughput distributed processing experience (Spark, Cassandra) with thoughtful UX- and data-governance-minded solutions.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Materials Science and Engineering, Bachelor of Science (B.S.), Materials Science and Engineering at University of Illinois Urbana-Champaign
English