Blake Cannon is a Senior Platform Engineer with nine years of hands-on experience building cloud-native infrastructure, CI/CD pipelines, and automated networking across AWS and GCP. He blends a strong DevOps toolkit—Terraform, Python, Docker, Go, Kubernetes—with a background in large-scale process plant design, giving him a rare systems-level view of reliability, constructibility, and operational safety. At Project Canary he architected internal platforms and self-service APIs to accelerate developer velocity while embedding security and compliance (SOC2) into delivery workflows. Blake also has data science training and GitHub contributions focused on Python-based data manipulation, reflecting an ability to bridge infrastructure, automation, and analytics. Known for mentoring, clear technical communication, and automating repetitive work, he consistently turns complex requirements into maintainable, auditable solutions. Based in Golden, Colorado, he thrives on solving cross-disciplinary problems where software and networking intersect.
9 years of coding experience
12 years of employment as a software developer
Master of Science (M.Sc.), Global Energy Management & Business Administration, Master of Science (M.Sc.), Global Energy Management & Business Administration at University of Colorado Denver
Certificate, Data Science, Certificate, Data Science at General Assembly
Bachelor of Business Administration (B.B.A.), Economics, Bachelor of Business Administration (B.B.A.), Economics at Texas A&M University-Corpus Christi
Contributions summary:Blake's commits primarily focus on completing exercises from the "Intro to Python for Data Science" course within the "datacamp" repository. The work involves using Python to perform basic data manipulation and analysis tasks such as subsetting, slicing, and list comprehensions. The changes include implementations related to working with lists and utilizing various functions and methods. Through the commits, the user demonstrates foundational data science skills.
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