Laura Zdanski
Principal Technical Writer And Team Manager at Astronomer
Durham, North Carolina, United States
Summary
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Rockstar🎓
Top SchoolLaura Zdanski is a Principal Technical Writer and team manager with nine years of experience shaping developer and product documentation across startups and enterprise teams, currently leading docs strategy and execution at Astronomer. She blends user research, analytics, and close collaboration with engineering, UX, and support to deliver accessible, production-grade docs for SaaS, on‑prem, APIs, CLIs, and open-source tooling. At Stripe and IBM she scaled documentation processes, reduced new-hire ramp time, and launched localization pipelines for quantum computing docs, demonstrating both operational rigor and cross-functional influence. An MS in Technical Communication and an early background in environmental science give her a research-driven, systems-minded approach to content and community. She also contributes to high-profile open-source projects like Apache Airflow, improving clarity and scheduling docs that help practitioners adopt complex workflows.
8 years of coding experience
2 years of employment as a software developer
MS Technical Communications, MS Technical Communications at North Carolina State UniversityHigh School Diploma, High School Diploma at Choate Rosemary HallBachelor of Science (BS) Environmental Science, Bachelor of Science (BS) Environmental Science at University of North Carolina at Chapel Hill
Github Skills (7)
apache-airflow10
restructuredtext10
documentation10
orchestration9
workflow-engine9
data-engineering8
python6
Programming languages (12)
Github contributions (5)
apache/airflow
Apr 2023 - Apr 2024
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Technical Writer
Technical WriterContributions:11 reviews, 4 PRs, 17 comments in 11 months
Contributions summary:Laura's contributions primarily focus on documentation updates within the Apache Airflow project. These edits include fixes for typos and capitalization issues across various documentation files, as well as the addition of more detailed information to the README. The user also updated the documentation on deferrable operators, timetables and dataset scheduling. The changes improve the clarity, accuracy, and comprehensiveness of the documentation, which is essential for user understanding and project adoption.
monitorpythonschedulerapacheprogrammatically
lzdanski/airflow
May 2023 - Apr 2024
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:64 pushes, 9 branches in 11 months
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