Rebecca Szper
Senior Technical Writer at Google
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolRebecca Szper is a Senior Technical Writer based in the Greater Seattle Area with four years of focused experience translating complex cloud and data-processing concepts into clear, usable documentation. At Google she has led technical writing for Dataflow, Apache Beam, and Flume and now authors internal compliance and sovereignty onboarding docs for Google Cloud, blending deep product knowledge with regulatory rigor. Prior roles at Oracle and Tableau show a track record of shaping authoring processes, automation tooling, and developer-facing content, while earlier QA and support experience gives her a practical, engineering-aligned perspective. She also contributes code and documentation to Apache Beam—fixing validation logic and improving ML examples—demonstrating hands-on familiarity with back-end systems and machine-learning workflows. Known for turning nuanced technical constraints into concise guidance, she pairs an MLIS and political science background with a curiosity for systems and policy intersections that inform her documentation approach.
4 years of coding experience
9 years of employment as a software developer
MLIS Library and Information Science, MLIS Library and Information Science at University of WashingtonBA Latin American Studies Environmental Studies, BA Latin American Studies Environmental Studies at Wesleyan University
Spanish
Github Skills (12)
apache-beam10
python10
machine-learning9
regular-expression9
documentation8
java6
javas6
streaming5
batching5
batch5
go4
sql4
Programming languages (2)
Github contributions (5)
apache/beam
Apr 2022 - Jan 2023
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:251 reviews, 18 commits, 38 PRs in 8 months
Contributions summary:Rebecca contributed to the Apache Beam project by addressing issues related to Dataflow job names, specifically correcting the regular expression used for validation. They also updated documentation related to the RunInference transform, including example code using PyTorch and Scikit-learn models. Furthermore, the user was involved in editorial reviews of the ML base API descriptions and ML notebooks, improving the documentation and usability of the project's machine-learning features.
golangpythonstreaming-databeambatch
rszper/beam
Apr 2022 - Oct 2024
Apache Beam is a unified programming model for Batch and Streaming
Contributions:191 pushes, 73 branches in 2 years 7 months
stream-processingbeambatchstreamingapache
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