Matthew Iselin
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Iselin is a site reliability and platform engineer with six years of hands-on experience building and running large-scale systems, now serving as a Member of Technical Staff at OpenAI. His background spans foundational SRE roles at Google through leadership and founding SRE work at Replit, plus short stints scaling reliability at startups like Freed and Rootly, giving him a rare blend of enterprise discipline and startup velocity. He contributes to open-source data tooling—working on Mage AI integrations for sources like OracleDB, Google Sheets, and Azure Blob Storage—demonstrating a practical focus on data pipelines and connector reliability. Based in San Francisco, he pairs strong communication skills with a track record of shipping durable fixes and integrations that reduce operational toil.
6 years of coding experience
13 years of employment as a software developer
Bachelor of Information Technology Applied Computer Science, Bachelor of Information Technology Applied Computer Science at University of Southern Queensland
Stackoverflow
10,560reputation
1.3mreached
154answers
29questions
mkdir
top-5%
windows
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operating-system
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python
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linux
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Github Skills (25)
data-pipelines10
python10
data-engineering10
etl10
data-pipeline10
github9
linux9
windows9
mkdir9
azure-blob-storage9
google-sheets9
operating-system9
streaming8
sql8
kafka8
Programming languages (10)
Github contributions (5)
mage-ai/mage-ai
Jul 2023 - Dec 2024
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Role in this project:
Data Engineer
Data EngineerContributions:13 releases, 76 reviews, 211 PRs in 1 year 6 months
Contributions summary:Matthew primarily contributed to data pipeline-related tasks within the Mage AI platform. Their commits include adding functionality for various data sources like Google Sheets, OracleDB, and GitHub taps. The user also focused on bug fixes and improvements, such as fixing Snowflake roles and bumping timeouts within the streaming components. A notable contribution was enhancing the Azure Blob Storage integration.
pythondatadbttransformationdata-quality
mattppal/blog
Apr 2023 - Aug 2024
Contributions:99 PRs, 291 pushes, 30 branches in 1 year 4 months
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