Rachel Reverie

Technical Writer at Great Expectations

Missouri, United States
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Summary

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Rachel Reverie is a senior technical writer with a four-year focus on developer-facing documentation and a software engineering background that informs clear, actionable content. Based in Missouri, she currently shapes docs at Great Expectations, contributing to a widely used open-source data quality project by reorganizing guides, cleaning up legacy content, and adding a glossary and standardized term tagging. Her prior roles span full-stack engineering and technical leadership, where she built Python tooling, automated GIS workflows, and integrated backend systems—skills she leverages to produce documentation that maps precisely to implementation. Rachel’s hands-on history creating utilities (from Zoom downloaders to calendar-to-timesheet converters) and rebuilding secure web backends gives her a rare empathy for both developers and end users. She pairs a BA in Philosophy with pragmatic coding experience, which helps her distill complex systems into usable guidance. Colleagues rely on her to translate messy, real-world processes into reliable documentation and reproducible workflows.
code4 years of coding experience
job4 years of employment as a software developer
bookBachelor of Arts (B.A.), Philosophy, Bachelor of Arts (B.A.), Philosophy at Hanover College
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Github Skills (5)

markdown10
markdown-it10
documentation10
technical-writing10
great-expectations9

Programming languages (1)

Python

Github contributions (5)

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Always know what to expect from your data.
Role in this project:
userTechnical Writer
Contributions:679 reviews, 224 commits, 501 PRs in 1 year 2 months
Contributions summary:Rachel primarily contributed to the documentation of the project. Their work focused on deleting outdated documentation, correcting links, and reorganizing content. They also added and updated the table of contents, created a glossary, and standardized header formatting and technical term tagging within the getting started tutorial and other documentation pages.
pythondatadata-integritydatacleanerpipeline-testing
Always know what to expect from your data.
Contributions:1 push in 1 day
data-analysispythondatadata-science
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Rachel Reverie - Technical Writer at Great Expectations