Summary
Grayson Williams is a Senior Data Engineer with a Ph.D. in experimental particle physics and over a decade of experience building scalable data platforms, ETL pipelines, and high-performance computing solutions. He has modernized legacy ETL stacks into cloud-native architectures at companies like Teachers Pay Teachers and Elevate Labs, driving cost reductions, operational monitoring, and event-platform migrations. Comfortable as both a hands-on engineer and technical lead, he blends deep systems-level skills (C/C++, Fortran, MPI/OpenMP, HPC) with modern data tooling (dbt, Airflow, Snowflake, BigQuery, Kubernetes). His background in building detector DAQ systems and operating LHC computing nodes gives him unusual expertise in hardware-software integration and mission-critical reliability. Based in Seattle, he pairs scientific rigor and statistical analysis with pragmatic product-focused delivery across cross-functional teams.
10 years of coding experience
15 years of employment as a software developer
The University of Arizona
none, Physics, none, Physics at Arizona State University
PhD, Physics, PhD, Physics at The Ohio State University
English, French, German, Spanish