Grigory Pomadchin
Senior Software Engineer at Disney Streaming
Philadelphia, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolGrigory Pomadchin is a Lead Software Engineer with 12 years of experience building scalable geospatial and data-processing systems, now based in Philadelphia and leading engineering at The Walt Disney Company. He brings deep expertise in Scala, Spark, Docker/Kubernetes, and JNI integration, having contributed core functionality to GeoTrellis and implemented Java bindings for the PDAL point-cloud library. His background spans product-focused roles at Disney Streaming and OpenWeatherMap where he designed tile servers, raster pipelines, and streaming raster processing engines that handle large satellite and LIDAR datasets. Grigory pairs hands-on backend and DevOps skills—CI/CD, cross-compilation, and deployment automation—with a strong open-source track record, including improvements to typelevel frameless builds and PDAL/GeoTrellis tooling. Collected training in applied mathematics and computer science from MEPhI underpins his strength in numerics, geospatial algorithms, and ETL for remote sensing workflows. He’s known for solving complex integration problems (e.g., cross-language bindings and cloud-optimized geotiff pipelines) that make large-scale geospatial processing production-ready.
12 years of coding experience
10 years of employment as a software developer
National Research Nuclear University "MEPHI"
English, French, Russian
Stackoverflow
1,301reputation
41kreached
33answers
17questions
Github Skills (30)
github-ci10
pdal10
spark10
c-language10
sbt-release10
java10
cicd10
scala10
javas10
jna10
githubaction-workflow10
cprogramming-language10
top-level9
crossbuild9
plugin9
Programming languages (18)
Github contributions (5)
typelevel/frameless
Aug 2021 - Jan 2023
Expressive types for Spark.
Role in this project:
DevOps Engineer & Backend Developer
DevOps Engineer & Backend DeveloperContributions:86 reviews, 104 commits, 208 PRs in 1 year 4 months
Contributions summary:Grigory focused on enhancing the project's build, release, and deployment processes. Their contributions involved integrating CI/CD tools like `sbt-ci-release` and GitHub Actions, automating publishing steps, and configuring binary compatibility checks. They also updated project dependencies and made code changes to enable cross-compilation and support for different Spark versions, demonstrating backend development skills.
functional-programmingspark-mlexpressivesparkscala
PDAL/PDAL
Nov 2016 - Mar 2020
PDAL is Point Data Abstraction Library. GDAL for point cloud data.
Role in this project:Back-end Developer
Back-end DeveloperContributions:11 commits, 19 PRs, 35 comments in 3 years 4 months
Contributions summary:Grigory implemented Java/JNI bindings for the PDAL library, specifically focusing on `io_pdal_PointView.cpp` and `PointView.scala`. Their work involved creating Java Native Interface (JNI) methods to interact with the C++ PDAL library, enabling Java applications to utilize PDAL's point cloud processing capabilities. They contributed to deployment improvements, including changes to publish scripts. Additional changes include Scala DSL and related improvements.
point-cloudabstraction-librarypointgdaldata-abstraction
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