Gabriel Bromley is a scientific software engineer and PhD-trained atmospheric scientist with 11 years of experience turning terabyte-scale meteorological datasets into production-ready data infrastructure. He combines deep domain knowledge of reanalysis and observational products (ERA5, MERRA-2, GHCN, NEXRAD) with 8+ years of Python expertise across xarray, pandas, GDAL, PostgreSQL and Docker to build robust ETL pipelines and geospatial workflows. His work spans academia and industry—from developing the open-source PreSeason precipitation-seasonality package and high-resolution WRF research to shipping ETL systems at Salient Predictions that integrated disparate national and international station networks. Gabriel is self-taught in most software skills, relishes messy data puzzles like inconsistent station formats and real-time feeds, and emphasizes clean, tested code that scales to production. Based in Fort Collins, CO, he now applies scientific rigor to operational problems in Python development, data engineering, or meteorology roles where domain insight accelerates impact.
11 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Atmospheric Sciences and Meteorology, Bachelor’s Degree, Atmospheric Sciences and Meteorology at University of Wisconsin-Madison
Doctor of Philosophy - PhD, Environmental Science, Doctor of Philosophy - PhD, Environmental Science at Montana State University-Bozeman
Contributions:1 release, 2 pushes, 1 branch in 5 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Gabriel Bromley - Scientific Software Engineer at REI