Andrew Fink-miller

Ground Software Architect at Umbra

Philadelphia, Pennsylvania, United States
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Summary

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Andrew Fink-miller is a Ground Software Architect and staff-level software engineer with 12 years of experience building robust backend systems and shaping product architecture from Philadelphia. Currently at Umbra, he focuses on ground software solutions, bringing deep practical experience in geospatial data processing—evidenced by notable contributions to the GeoTrellis project where he refactored polygonal summary APIs and added Spark RDD support. He balances hands-on implementation with architectural thinking, improving APIs and test coverage to make complex raster and polygonal operations more maintainable and performant. A Penn State alumnus, Andrew combines academic grounding with a track record of shipping production-ready systems for high-performance, spatially-aware applications.
code12 years of coding experience
bookBachelor of Science (B.S.), Bachelor of Science (B.S.) at Penn State University
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Github Skills (9)

spatial10
geo10
spark10
api10
geospatial10
apidoc10
spatial-data10
data-processing10
scala10

Programming languages (18)

JavaC++CSSCScalaMakefileVueHTML

Github contributions (5)

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locationtech/geotrellis

May 2019 - Dec 2020

GeoTrellis is a geographic data processing engine for high performance applications.
Role in this project:
userBack-end Developer
Contributions:9 reviews, 62 commits, 36 PRs in 1 year 7 months
Contributions summary:Andrew primarily focused on refactoring and improving the GeoTrellis API, specifically the polygonal summary functionality. They refactored the existing API, adding new implementations for various raster types and removing older, less practical methods. Additionally, the user implemented a new Spark PolygonalSummary API, enabling direct polygonal summary operations on RDDs. These changes included adding new features and test cases.
geotrellisgeospatialdata-processinggeographic-dataperformance
Contributions:457 commits, 2 PRs, 1 push in 10 months
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