Paul Yang
Software Engineer at dbt Labs
United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Yang is a software engineer with 11 years of experience building large-scale data infrastructure and distributed systems, currently contributing to MetricFlow at dbt Labs. He has a strong track record at major tech firms—Facebook, Instagram, Airbnb—where he led projects spanning petabyte-scale HDFS migrations, incremental replication for Hive, Airflow scalability, and storage/scheduling/security for data platforms. As a former co-founder at Transform, he pairs hands-on back-end engineering with product and hiring experience for data and infrastructure teams. His open-source contributions include CLI and UX-focused improvements to MetricFlow, reflecting an emphasis on making metric computation and configuration more user-friendly. Trained at MIT in EECS, he brings deep systems-level expertise combined with practical operational experience in multi-datacenter and compliance-sensitive environments. An underappreciated strength is his history of bridging low-level system design (storage, schedulers, replication) with developer-facing tooling that improves day-to-day productivity.
11 years of coding experience
14 years of employment as a software developer
Master’s Degree, Electrical Engineering and Computer Science, Master’s Degree, Electrical Engineering and Computer Science at Massachusetts Institute of Technology
Github Skills (8)
python10
command-line9
cli9
command-line-interface9
configuration-management7
analytics6
metric5
data-modeling5
Programming languages (7)
Github contributions (5)
dbt-labs/metricflow
Apr 2022 - Jan 2023
MetricFlow allows you to define, build, and maintain metrics in code.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 518 reviews, 236 commits in 9 months
Contributions summary:Paul contributed to the MetricFlow project, which focuses on defining and maintaining metrics in code. Their work involved code changes to the `metricflow/cli/main.py` file, suggesting involvement in command-line interface development and possibly configuration management. These changes indicate a focus on improving the user experience, specifically by adding features like the ability to display plans and to configure settings for the user.
analyticsdatapypirecallbusiness-intelligence
airbnb/reair
Dec 2015 - Nov 2016
ReAir is a collection of easy-to-use tools for replicating tables and partitions between Hive data warehouses.
Contributions:77 commits, 61 PRs, 77 pushes in 10 months
data-warehouseschange-data-capturedatabasecdcpartitions
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