Nikki Everett
Lead Technical Writer at Dagster Labs
Chicago, Illinois, United States
Summary
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Rockstar🎓
Top SchoolNikki Everett is a Lead Technical Writer with 11 years of experience crafting clear, developer-focused documentation and guiding documentation strategy for developer-first companies. Based in Chicago, she has shaped docs at GitHub, npm, Oracle, and most recently Dagster Labs, where she contributes to the documentation of a prominent data orchestration platform used for building and observing data assets. She combines hands-on data engineering experience—building ETL pipelines in Python and SQL—with a track record of reorganizing and modernizing docs sites, automating publishing, and mentoring writers. Nikki’s background in internal communications and knowledge management means she excels at translating complex engineering processes into usable onboarding and operational guides. Notably, she has improved API docs and example code in major open-source projects, making technical workflows more accessible to users and contributors. Her philosophy degree and time at the Recurse Center reflect a curiosity-driven approach to problem solving and continuous learning.
11 years of coding experience
4 years of employment as a software developer
Foothill CollegeBachelor of Arts (B.A.) Philosophy, Bachelor of Arts (B.A.) Philosophy at University of Chicago
Stackoverflow
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Github Skills (8)
docusaurus10
documentation10
technical-writing10
analytics4
data-engineering4
data-pipeline4
python4
data-pipelines4
Programming languages (7)
Github contributions (5)
dagster-io/dagster
Oct 2024 - Apr 2025
An orchestration platform for the development, production, and observation of data assets.
Role in this project:
Technical Writer
Technical WriterContributions:332 reviews, 203 PRs, 546 pushes in 5 months
Contributions summary:Nikki primarily contributed to the repository by creating and modifying documentation for the Dagster platform. Their work involved reorganizing the documentation structure, adding new sections such as tutorials, and updating links and references across various documentation files. They also corrected missing API documentation and updated code examples to reflect the latest changes, improving the overall clarity and usability of the documentation.
operationpythonobservationschedulermetadata
datatoolsrc2023/nlrb_data
Mar 2023 - Aug 2023
Code for exploring and visualizing NLRB case data
Contributions:23 reviews, 11 PRs, 39 pushes in 4 months
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