Cory Donnelly
Engineering Manager at Zapier
Buffalo, New York, United States
Summary
👤
Senior🎓
Top SchoolCory Donnelly is an engineering manager and transformational technology executive with over a decade of experience modernizing large-scale, customer-facing platforms and building high-performing engineering organizations. He has led multimillion-dollar initiatives across digital banking, observability, and cloud-native modernization, driving measurable improvements in throughput, predictability, and resiliency for millions of customers. At M&T Bank he designed an enterprise “Path to Production,” instituted Quality Engineering and API governance, and led a cross-functional Solution Train that materially accelerated delivery while maintaining audit and regulatory readiness. Now leading Zapier’s Observability group, he focuses on unified monitoring and developer enablement to improve operational visibility across engineering teams. A hands-on contributor and tinkerer, he’s also improved open-source testing for the popular Faker library, reflecting a focus on test quality and reliability. Beyond product delivery, he co-founded Capital One Coders, which has served tens of thousands of students and demonstrates his commitment to STEM education and community impact.
10 years of coding experience
14 years of employment as a software developer
Honours BSc, Computer Science and Physics, Honours BSc, Computer Science and Physics at University of Toronto
Github Skills (7)
unit-testing10
data-validation10
faker10
python10
test-automation10
testing10
datetime9
Programming languages (12)
Github contributions (5)
joke2k/faker
Jun 2018 - Oct 2020
Faker is a Python package that generates fake data for you.
Role in this project:
Backend Developer & QA Engineer / Test Automation Engineer
Backend Developer & QA Engineer / Test Automation EngineerContributions:18 commits, 14 PRs, 36 comments in 2 years 4 months
Contributions summary:Cory primarily contributed to enhancing the Faker library's testing and functionality related to generating fake data. They implemented tests for Canadian SIN generation and extended support for US ITIN and EINs, demonstrating expertise in generating and validating diverse tax identification numbers. The user also implemented support for start_datetime in the unix_time() function and included unit tests for various parameters. Their contributions included refactoring and improving the existing test suite and implementing new tests, highlighting their focus on code quality and reliability.
pythontest-datatestingdummy-datadataset
crd/faker
Jun 2018 - Oct 2020
Faker is a Python package that generates fake data for you.
Contributions:52 pushes, 9 branches in 2 years 4 months
pythontestingdummy-datafakerfake-data
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