Eric Bruning
Full Stack Developer at 360insights.com
Little Rock, Arkansas, United States
Summary
👤
Senior🎓
Top SchoolEric Bruning is a Full Stack Developer with 17 years of diverse software engineering experience, currently building web applications at 360insights in Little Rock, Arkansas. He combines enterprise Java, SQL, Angular, and legacy COBOL modernization experience from Dillard’s with Python data-science contributions to the well-known MetPy project, where he enhanced radar data processing and 3D gridding for weather analysis. Eric's background spans retail, logistics, and IT roles, giving him practical operational empathy for shipping, receiving, and distribution systems as well as on-call production support. He holds a BS and an MS in Computer Science from the University of Central Arkansas and has taught programming to high-school students, demonstrating a knack for explaining complex concepts. Comfortable across backend, frontend, and data-processing tasks, he’s particularly adept at integrating legacy systems with modern tooling and pipelines. Colleagues describe him as curious and reliable—equally likely to refactor a struts app, design cXML punchout endpoints, or prototype a Pythonic solution for meteorological data.
17 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, 3.4, Master's degree, Computer Science, 3.4 at University of Central Arkansas
Github Skills (11)
meteorology10
atmosphere10
science10
computation10
weather10
python10
scientific-computing10
numpy10
data-analysis9
matplotlib9
weather-data9
Programming languages (8)
Github contributions (5)
Unidata/MetPy
Feb 2009 - Jul 2016
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
Role in this project:
Data Scientist
Data ScientistContributions:10 commits, 1 PR, 36 comments in 7 years 6 months
Contributions summary:Eric contributed to the `metpy` repository by enhancing the functionality of weather data analysis and visualization tools. They added code for reading and processing data from WDSSII radar sweep files, integrating these files into the existing radar volume processing framework using RSL. Additionally, the user fixed bugs related to data handling and implemented a new 3D gridding method for radar data, demonstrating an emphasis on working with spherical data. This includes adding methods to perform calculations and visualization techniques.
hodographmeteorologypythoncalculationsatmospheric-science
deeplycloudy/glmtools
Oct 2016 - Sep 2021
GOES-R Geostationary Lightning Mapper Tools
Contributions:1 release, 298 commits, 72 PRs in 5 years
lightningmapper
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