Vaibhav Rai
Manager, TIS Data And Analytics, Gas Distribution
Calgary, Alberta, Canada
Summary
👤
Senior🎓
Top SchoolVaibhav Rai is a data and analytics leader based in Calgary with 15+ years of experience translating business objectives into strategic data products and operational analytics. Currently managing TIS Data and Analytics for Gas Distribution at Enbridge, he builds roadmaps, drives cross-functional adoption of centralized data, and holds teams accountable to KPIs and SLAs. His background spans data architecture, BI solution design, and data governance across finance, insurance, transit, and energy sectors, with hands-on work in ETL, modeling and analytics platforms. An active open-source contributor, he has improved the Svelte compiler and strengthened testing and debugging tooling in coala projects—evidence of both front-end finesse and strong QA/automation instincts. Colleagues know him as a pragmatic change agent who blends technical depth with coaching and vendor management to convert complex interdependencies into sustainable data products. Outside work he balances code with athletic pursuits—runner and paragliding pilot—which reflects a taste for disciplined, high-focus problem solving.
8 years of coding experience
5 years of employment as a software developer
Bachelor Statistics, Bachelor Statistics at University of Regina
Github Skills (17)
debugging10
debug10
javascript10
pytest10
python10
ui-components10
testing10
templater10
template-engine10
code-analysis10
compiler-design10
lint10
svelte10
template-tags10
javas3
Programming languages (11)
Github contributions (5)
coala/coala-bears
Nov 2017 - Jul 2018
Bears for coala
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:5 commits, 10 PRs, 176 comments in 8 months
Contributions summary:Vaibhav primarily focused on improving the testing infrastructure for the coala-bears project. Their contributions include fixing test failures in PySafetyBear related to data format changes, adding a non-mocked test for PySafetyBear, and updating PySafetyBear to support the latest safety library version. The user also added tests for CSSCombBear, which added a new configuration, demonstrating a focus on automated testing and ensuring code quality. These changes directly improved the testing coverage and reliability of the project.
linterpythonbearsgenericlanguages
coala/coala
Nov 2017 - Aug 2018
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:10 commits, 16 PRs, 327 comments in 8 months
Contributions summary:Vaibhav primarily contributed to enhancing the coala debugging interface and improving testing infrastructure. They implemented new features like the `--debug-bears` argument and a settings inspection toolset within the debugger, enabling more effective bear debugging. Additionally, the user refactored and added tests, including mock tests and test replacements, and updated documentation related to the debugger and the profiling interface. They also addressed issues in the existing test suite by replacing failing dependencies with alternatives.
fixinglinterlintpythonwindows
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