Peter Moyer
Technical Quality Supervisor at Your Health Idaho
Boise Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolPeter Moyer is a seasoned technical leader with over 30 years of engineering and operations experience, currently serving as Technical Quality Supervisor in the Boise area after managing software and DevOps teams across payments, education, networking, and media companies. He has a strong track record of driving automation, reducing deployment times to minutes, enabling zero-downtime releases, and improving test coverage and infrastructure across AWS, GCP, and on-prem environments. As a former Software Engineering Manager at Kount/Equifax and IXL, he led PCI compliance, production readiness, and cross-functional API and QA initiatives for mission-critical products. Early roles in embedded and OS-level engineering at Lucent and Siemens underpin his deep systems understanding and ability to bridge low-level technical detail with high-level delivery. He contributes to open-source documentation for Great Expectations, reflecting an interest in data quality and clear technical communication that often goes beyond code. With a BS in Computer Science from Cal Poly SLO, he pairs pragmatic engineering with operational rigor to make complex systems reliable and auditable.
4 years of coding experience
32 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Github Skills (5)
docusaurus10
documentation10
technical-writing10
markdown-it9
markdown9
Programming languages (1)
Github contributions (2)
great-expectations/great_expectations
Jun 2021 - Oct 2021
Always know what to expect from your data.
Role in this project:
Technical Writer
Technical WriterContributions:67 reviews, 39 commits, 58 PRs in 3 months
Contributions summary:Peter primarily contributed to the documentation of the Great Expectations project. Their commits focused on adding, removing, and reorganizing documentation files, including guides, tutorials, and API references. The contributions also involved standardizing capitalization, removing stubs, and cleaning up table of contents, thus improving the clarity, completeness, and usability of the documentation.
pythondatadata-integritydatacleanerpipeline-testing
OnkarMadli/great_expectations
Jun 2021 - Jun 2021
Always know what to expect from your data.
Contributions:5 commits in 4 days
data-analysispythondatadata-science
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