Annie Elliott
Manager, Information Engineering
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolAnnie Elliott is a manager of information engineering with 11 years in analytics, engineering, product, documentation and support, currently leading documentation and information engineering at Starburst in the Greater Seattle Area. She pivots roles with purpose, driven by the question “are we building the right things?” and pairs product-minded thinking with hands-on technical communication. Annie has contributed technical writing to the widely used Trino (formerly PrestoSQL) project, improving connector, admin, and security docs for a major open-source distributed SQL engine. Her background spans technical program management at Facebook, data and analytics leadership at Mozilla, and software engineering at Lawrence Livermore, giving her deep cross-functional fluency. She completed UW’s Software Product Management certificate to formalize her move toward product leadership and often translates complex engineering tradeoffs into clear, customer-focused outcomes. An underappreciated strength is her persistent blend of rigorous technical detail and narrative clarity, which makes documentation a driver of product adoption.
11 years of coding experience
10 years of employment as a software developer
BS, Physics, BS, Physics at California State University - East BayPolitical Science, Political Science at George Mason University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
documentation10
sql9
jdbc9
hive8
delta-lake7
apache-iceberg7
ice7
mysql6
database5
kafka5
databases5
big-data4
javas4
java4
Programming languages (2)
Github contributions (5)
trinodb/trino
Sep 2022 - Sep 2022
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Role in this project:
Technical Writer
Technical WriterContributions:212 reviews, 3 commits, 52 PRs in 8 days
Contributions summary:Annie primarily focused on improving and expanding the documentation for the Trino query engine. Their contributions included adding configuration properties, clarifying the use of existing features like JDBC, updating documentation to reflect accurate company names and standardized formatting, and reorganizing various documentation pages to improve clarity. The edits span multiple connector pages (Hive, MySQL, Iceberg, Delta Lake, Hudi, Kafka), admin, and security sections, indicating a broad contribution to the project's user-facing documentation.
prestodbdbmsindexingjdbcbigdata
m57lyra/trino
Jul 2020 - Apr 2024
Home of the community managed version of Presto, the distributed SQL query engine for big data, under the auspices of the Presto Software Foundation.
Contributions:372 pushes, 74 branches in 3 years 9 months
queryhivequery-enginesqlbig-data
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