Colton Padden
Data Engineer & Developer Advocate
Alexandria, Virginia, United States
Summary
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Rockstar🎓
Top SchoolColton Padden is a data engineer and developer advocate at Dagster Labs with 12 years of experience building data pipelines, warehouses, and developer-facing tooling. He has delivered production-grade ingestion and replication systems at Gemini, helped social scientists at Georgetown leverage large-scale organic datasets via Spark/Beam/Airflow, and advised an IoT startup on cloud-backed device telemetry and mobile integration. An active contributor to the Dagster project, he combines backend Python work with technical writing to keep training materials and docs aligned with evolving releases. Colton pairs hands-on engineering with developer enablement—building internal LLM-powered apps and web tools to surface insights—and often acts as the bridge between data infrastructure and end users. Based in Alexandria, VA, he brings an unusual mix of research-facing analytics experience and pragmatic product engineering.
12 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Virginia Tech
Stackoverflow
81reputation
1kreached
3answers
0questions
Github Skills (14)
python10
sphinx10
documentation10
data-pipelines9
data-engineering9
data-pipeline9
orchestra8
orchestration8
workflow-engine8
json6
apache-spark6
pandas6
pyspark6
dataframe6
Programming languages (18)
Github contributions (5)
dagster-io/dagster
Mar 2022 - Apr 2025
An orchestration platform for the development, production, and observation of data assets.
Role in this project:
Backend Developer & Technical Writer
Backend Developer & Technical WriterContributions:985 reviews, 777 PRs, 1165 pushes in 3 years 1 month
Contributions summary:Colton made several contributions focused on improving the documentation and updating the codebase for the Dagster University project. Their work included bumping the project's Dagster University start version to 1.6.\* to align with new training material. They also addressed documentation issues, such as fixing broken PyObject references, invalid link anchors, and script improvements for finding missing Sphinx references. The user demonstrated proficiency in Python and documentation tools by ensuring the examples worked as expected and making the necessary code adjustments.
operationpythonobservationschedulermetadata
dagster-io/talks
Feb 2024 - Apr 2025
Contributions:19 reviews, 52 PRs, 82 pushes in 1 year 1 month
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