Micole Sudberg
Senior Technical Writer at LiveRamp
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolMicole Sudberg is a Senior Technical Writer with nine years focused on developer-facing documentation and a longer career translating complex technical systems into clear, actionable content. Based in New York, she has driven documentation strategy and large migrations at companies like LiveRamp and Materialize, where her open-source contributions improved SQL grammar docs and source connector guides for a real-time data platform. Micole combines editorial rigor from a BA in English with deep product and support experience dating back to roles in technical support and systems at Juno, giving her a rare blend of user empathy and technical fluency. She excels at reorganizing docs to reduce developer friction and has hands-on experience documenting nuanced features such as DROP TYPE, AT TIME ZONE, and cloud open beta workflows.
8 years of coding experience
8 years of employment as a software developer
BA, English, BA, English at Yale UniversityHigh School, High School at Hunter College High School
Github Skills (8)
sql10
documentation10
data-format9
kafka9
data-formats9
avro8
kin7
amazon-kinesis7
Programming languages (2)
Github contributions (5)
MaterializeInc/materialize
Dec 2020 - Oct 2021
Real-time Data Integration and Transformation: use SQL to transform, deliver, and act on fast-changing data.
Role in this project:
Technical Writer
Technical WriterContributions:204 reviews, 69 commits, 195 PRs in 9 months
Contributions summary:Micole primarily contributed to the repository's documentation, focusing on SQL grammar, source creation, and data format details. Their work includes updating and expanding documentation for `DROP TYPE`, `SHOW TYPES`, `AT TIME ZONE` functions, and various source connectors like Kafka and Kinesis. Furthermore, the user made improvements to the documentation's organization, including separate pages for sources and updates to the cloud open beta.
streamsdata-warehousedistributed-sql-databasestreamingpostgresql-dialect
msudberg/materialize
Dec 2020 - Dec 2021
Materialize simplifies application development with streaming data. Incrementally-updated materialized views - in PostgreSQL and in real time. Materialize is powered by Timely Dataflow.
Contributions:28 PRs, 338 pushes, 236 branches in 1 year
materialized-viewstimelystreaming-datastreamingdocker
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