Nate Nowack
Senior Software Engineer at Prefect
Chicago, Illinois, United States
Summary
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Rockstar🎓
Top SchoolNate Nowack is a Senior Software Engineer based in Chicago with 8 years of experience building reliable data and AI tooling, currently focused on open-source orchestration at Prefect. He designs and maintains integration libraries and DevOps interfaces—linking Prefect to Kubernetes, Docker, Pydantic, and various data stores—while embedding AI (NLIs, RAG) to remove toil from data engineering workflows. A prolific open-source maintainer, he contributes to Prefect and related projects (including upstream work on pydantic and the ATProtocol Python SDK) and implemented Kubernetes cluster-config features in the popular prefect repository. His background in chemical engineering and physics gives him a systems-oriented approach to modeling, automation, and observability, honed previously in data engineering consulting and production ML deployments. Nate prioritizes real-world feedback, synthesizing signals from thousands of engineers to shape usable, trustworthy developer tools. Outside work he’s a shameless nerd and perpetual question-asker with a soft spot for resurrecting thinkers like Richard Feynman.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Chemical Engineering, alumni, Bachelor of Science - BS, Chemical Engineering, alumni at University of Michigan
Stackoverflow
51reputation
3kreached
3answers
0questions
Github Skills (17)
kubernetes10
python10
infrastructure10
kubernetes-pods10
orchestration10
orchestra10
dockers9
docker9
yaml9
automation9
automations9
data-engineering8
testing7
etl6
mlops6
Programming languages (15)
Github contributions (5)
PrefectHQ/prefect
Jun 2022 - Jan 2023
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:43 releases, 2154 reviews, 73 commits in 7 months
Contributions summary:Nate primarily contributed to the `prefecthq/prefect` repository by implementing features related to Kubernetes integration and infrastructure. They modified the Kubernetes flow runner to use cluster configurations. These changes include adding a new `KubernetesClusterConfig` block, as well as classmethods, and associated tests. The user also updated the logic for fetching configuration and API clients and addressed code formatting and organizational changes.
data-pipelinedata-pipelinesorchestration-frameworkpythonworkflow
zzstoatzz/prefect-pack
May 2024 - Jun 2026
bootstrap a prefect project
Contributions:2 PRs, 89 pushes, 5 branches in 2 years 1 month
bootstrap
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