Bryan Harter
CLARREO Pathfinder Cloud Architect
Broomfield, Colorado, United States
Summary
👤
Senior🎓
Top SchoolBryan Harter is a cloud architect and software engineer with a decade-plus track record modernizing NASA science data systems, currently leading cloud architecture for the CLARREO Pathfinder mission at LASP. He specializes in consolidating complex AWS estates, building scalable data pipelines with Step Functions and Batch, and driving DevOps practices that cut integration times from hours to under 15 minutes. Bryan has translated numerous calibration algorithms from MATLAB to Python, authored the community-standard cdflib, and spearheaded cloud-native SDC designs for missions including IMAP, MAVEN, and the Emirates Mars Mission. Known for blending deep applied-math and astrophysics training with hands-on engineering, he also organizes cross-team cloud governance and cost-saving migrations that improved operations across 20+ projects.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Applied Mathematics, Bachelor of Science - BS, Applied Mathematics at University of Colorado at BoulderBachelor of Arts - BA, Astrophysics, Bachelor of Arts - BA, Astrophysics at University of Colorado Boulder
Github Skills (29)
gravity10
data-format10
orbit10
common-data-format10
python9
orbital-mechanics9
jython9
physics9
idl9
astrodynamics9
space8
cdf8
spice7
data-analysis7
maven7
Programming languages (3)
Github contributions (5)
MAVENSDC/Pydivide
Jun 2018 - Aug 2020
A plotting tool for MAVEN in-situ key parameter data
Contributions:53 commits, 2 PRs, 52 pushes in 2 years 2 months
pythonmavenin-situparameterplotting
MAVENSDC/cdflib
Aug 2018 - Oct 2022
A python module for reading and writing NASA's Common Data Format (cdf) files
Contributions:15 releases, 4 reviews, 196 commits in 4 years 3 months
pythondata-formatcommon-data-formatpython-modulecdf
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