Kevin Yuen
Software Development Manager at Tilt
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolKevin Yuen is a software development manager with 13 years of experience building data platforms and product features at startups and scale-ups, most recently leading engineering at Tilt and previously shaping Delphia as a founding engineer through YC W18. He combines hands-on full-stack and data engineering skills—contributing UI and backend fixes to the popular Apache Airflow project—with strategic responsibilities like vendor evaluation, platform architecture, and hiring. Kevin has a track record of turning data needs into iterative, production-ready systems (GCP, Kubernetes, Airflow) while keeping product delivery and stakeholder communication front and center. He founded and organized Toronto’s DataEngTO meetup, reflecting a commitment to community and knowledge sharing. Colleagues describe him as a pragmatic technical leader who still dives into code to improve reliability and observability.
12 years of coding experience
11 years of employment as a software developer
BS Computer Science, BS Computer Science at University of Toronto
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
apache-airflow10
javascript10
data-pipelines10
python10
data-engineering10
workflow-engine10
front-end-development10
web-developer10
orchestration10
frontend10
data-pipeline10
sqlalchemy9
backend9
html9
gcp8
Programming languages (6)
Github contributions (5)
apache/airflow
Oct 2015 - Dec 2020
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Full-stack Developer & Data Engineer
Full-stack Developer & Data EngineerContributions:1 review, 13 PRs, 22 comments in 5 years 3 months
Contributions summary:Kevin primarily contributed to the frontend and backend aspects of the Airflow platform. They implemented UI enhancements for the graph view, including filtering and refreshing capabilities, modifying HTML templates and JavaScript code for better user interaction. Additionally, the user addressed backend issues by modifying the core logic to correctly fetch data by using SQLAlchemy to connect to databases, and improved the logging within the Google Cloud provider. Furthermore, the user worked on improving existing code to enhance the reliability and performance of the platform.
monitorpythonschedulerapacheprogrammatically
KevYuen/airflow
Oct 2015 - Dec 2020
AirFlow is a system to programmatically author, schedule and monitor data pipelines.
Contributions:39 pushes, 13 branches in 5 years 3 months
monitorpythondata-engineeringdata-pipelinesprogrammatically
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