Alan Snow - Data Engineer

Alan Snow

Data Engineer

Des Moines Metropolitan Area United States

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Summary

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Alan Snow is a data engineer with 11 years of experience specializing in hydroinformatics, water resources, GIS, and cloud-native data pipelines. He builds production-ready tooling—serverless APIs, ingestion workflows for gridded satellite and hydrology data, and Python GIS libraries—while also connecting land surface models to routing models for streamflow forecasting and hindcasting. His research and federal work produced open-source tools like RAPIDpy, AutoRoutePy, and the Streamflow Prediction Tool, and he’s contributed to prominent geospatial projects including geopandas, cartopy, GDAL, Fiona, and rasterio. Comfortable across backend systems, HPC, and web front ends, he blends scientific modeling with pragmatic software engineering and a track record of improving CRS/coordinate handling in major geospatial libraries. Based in the Des Moines area, he brings domain expertise and a practical knack for turning complex hydrologic models into scalable, usable systems.

11 years of coding experience

6 years of employment as a software developer

Bachelors of Science (B.S.), Civil Enginering - Minors: Physics, Mathematics, 3.9, Bachelors of Science (B.S.), Civil Enginering - Minors: Physics, Mathematics, 3.9 at Brigham Young University

English, Mongolian

Stackoverflow

Stats

681reputation

33kreached

38answers

0questions

Github Skills (38)

proj10

c-language10

coordinate-transformation10

ogr10

python10

raster10

pandas10

gdal10

cartopy10

geographical-information-system10

rs10

geospatial10

spatial-data10

numpy10

geo10

Programming languages (16)

JavaC++RustCGoHTMLJupyter NotebookFortran

Github contributions (5)

geopandas/geopandas

Sep 2019 - Sep 2022

Python tools for geographic data

Role in this project:

Back-end Developer

Contributions:36 reviews, 23 commits, 30 PRs in 3 years

Contributions summary:Alan primarily contributed to the `geopandas` library by implementing and improving core functionalities related to geospatial data handling. Their work involved enhancing the `to_crs` method to handle coordinate transformations, including optimizations and improved support for various versions of the `pyproj` library. They also added features like filtered loading of data and the `estimate_utm_crs` method, contributing to the overall usability and functionality of the library. Furthermore, the user updated documentation.

pythongeographygeographic-datapython-toolsgeopandas

rasterio/rasterio

Jul 2018 - Jan 2023

Rasterio reads and writes geospatial raster datasets

Role in this project:

Back-end Developer

Contributions:254 reviews, 94 commits, 205 PRs in 4 years 7 months

Contributions summary:Alan primarily contributed to adding and modifying coordinate reference system (CRS) functionality within the rasterio library. Their work included implementing an `epsg` property and `to_epsg` method, enabling the conversion and retrieval of EPSG codes. They refactored code to use `InMemoryRaster` for reprojection tasks. The user also added support for ESRI WKT strings and improved handling of coordinate system transformations.

rasteriopythongeospatialmapbox-satellite-ossraster

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