Chris Spurlock - Product Owner at ENFRA

Chris Spurlock

Product Owner at ENFRA

Bellevue, Washington, United States

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Summary

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Senior

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Top School

Chris Spurlock is a Product Owner based in Bellevue, Washington with a decade of experience shaping data-driven products in energy and building analytics. He combines hands-on analytics and machine learning interest with practical product leadership across startups and engineering teams, from energy engineering at ATS to product roles at BuildingFit and ENFRA. His background includes QA/test automation contributions to Python course repositories, reflecting a systematic, test-first approach to feature delivery. Chris also brings cross-sector operational experience—earlier leadership at UPS and advisory work with Shoreline Community College—that helps him translate technical complexity into user-focused roadmaps. Currently pursuing further study at Arizona State University, he pairs continuous learning with a track record of shipping measurable analytics solutions.

10 years of coding experience

9 years of employment as a software developer

Certificate, Certificate at Bellevue College Continuing Education

Bachelor's degree, Bachelor's degree at Arizona State University

Applied Associates in Science - Technology (AAS-T), Applied Associates in Science - Technology (AAS-T) at Cascadia College

English

Github Skills (5)

html10

unit-testing10

pytest10

python10

test-automation10

Programming languages (1)

Python

Github contributions (5)

UWPCE-PythonCert-ClassRepos/SP_Online_PY210

Aug 2019 - Oct 2019

Self Paced Online Py210 (2019)

Role in this project:

QA Engineer / Test Automation Engineer

Contributions:20 commits, 11 PRs in 2 months

Contributions summary:Chris's commits primarily involve testing and test automation within the context of an HTML rendering project. The code changes include creating and modifying test files to verify the functionality of the `html_render.py` module. The user's focus is on building comprehensive tests to cover various aspects of HTML element rendering, ensuring proper tag generation and attribute handling. The commits demonstrate a systematic approach to testing, adding tests for new features and edge cases.

pytorchself-pacedpython

firstzion/python-lists-lab-data-science-intro-000

Jul 2019 - Jul 2019

Contributions:53 pushes, 1 branch in 1 day

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