Peter Scott

CUE IField Coordinator Lead Business Analyst

San Francisco, California, United Kingdom
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Summary

🤩
Rockstar
Peter Scott is a seasoned business analyst and technical coordinator with 14 years of experience, currently leading CUE iField coordination for Chevron Upstream Europe from San Francisco. He blends domain knowledge in upstream operations with hands-on software and back-end contributions, notably improving a Python metrics library (scales) by adding new output formats and hardening Graphite integration. Comfortable translating operational requirements into robust tooling, he focuses on usability, logging, and error handling to make data pipelines more reliable and auditable. His role sits at the intersection of field operations and engineering, enabling pragmatic solutions that scale across teams and sites. Colleagues rely on him to bridge stakeholders and developers, turning complex data needs into maintainable implementations.
code14 years of coding experience
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Github Skills (8)

json10
python10
graphite9
api-design8
flask-ask7
flask7
tornado7
testing6

Programming languages (5)

CHaskellJupyter NotebookPythonClojure

Github contributions (5)

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Cue/scales

Sep 2011 - Feb 2015

scales - Metrics for Python
Role in this project:
userBack-end Developer
Contributions:39 commits, 5 PRs, 6 pushes in 3 years 5 months
Contributions summary:Peter made several contributions focused on enhancing the functionality and usability of the `scales` metrics library. They added new output formats, specifically `prettyjson`, to the existing API, extending support for different data presentations. Furthermore, the user addressed issues related to Graphite integration, improving error handling and refining the logging rules. Additionally, the user made code improvements for better library structure and usability.
pythonrecallgraphitemetricscounter
Cue/greplin-bloom-filter

Dec 2012 - May 2017

Contributions:2 commits, 1 PR, 1 push in 4 years 5 months
probabilisticjavadata-structuredata-set
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