Kristen Armes
Software Engineer at Lyft
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolKristen Armes is a software engineer with a decade of experience building resilient, customer-focused systems across companies like Lyft and Salesforce from the San Francisco Bay Area. She spans full stack development—React front ends, Java/SQL REST APIs—and has owned full services in Kubernetes on Google Cloud, improving availability and CI/CD workflows. At Salesforce she reduced new bug records by 73% through thoughtful workflow fixes, migrated pipelines to GCP, and wrote a SonarQube plugin to integrate custom coverage data. She also contributes to prominent open-source tooling, enhancing Amundsen’s Neo4j staleness-removal logic and hardening its unit tests to handle edge cases. Kristen combines rigorous academic training (MS CS, UC San Diego) with a practical, test-driven approach and a knack for surfacing customer feedback into iterative product improvements. Colleagues rely on her for cross-team coordination, mentoring, and shipping dependable infrastructure.
10 years of coding experience
5 years of employment as a software developer
University of California, San DiegoCalifornia Polytechnic State University, San Luis Obispo
Github Skills (8)
neo4j10
data-catalog10
metadata10
python10
unit-testing9
cypher8
data-modeling7
cicd5
Programming languages (2)
Github contributions (5)
amundsen-io/amundsen
Sep 2021 - Sep 2022
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:17 releases, 163 reviews, 57 commits in 1 year
Contributions summary:Kristen primarily focused on enhancing the neo4j staleness removal task, introducing the ability to include conditions with node and relation types to refine data removal. They also improved the unit tests for the same task, including tests to cover several edge cases like handling expired data and the use of different time units. The user implemented and tested these features while addressing feedback from code reviews.
scientistspythondatadata-scienceanalysts
kristenarmes/amundsen
Aug 2021 - Sep 2022
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Contributions:198 pushes, 101 branches in 1 year
scientistspythondatadata-scienceanalysts
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