Evan Azevedo is a consultant and software engineer with nine years of experience designing and operating resilient, scalable cloud data systems from ingestion to analytics. He combines a statistics and physics background with hands-on expertise in Snowflake, Databricks, dbt, Terraform, and Python to build automated, low-overhead data platforms that have handled streaming at 20GB/hr and scaled marketing analytics for millions of prospects. Past roles include reducing cloud spend by over $200k and accelerating test data post-processing to enable large-scale FAA certification efforts, demonstrating a rare mix of data science rigor and production engineering. Comfortable across DevOps, API integrations, and data modeling, he also produces technical content and has delivered measurable reductions in production failures through governance and CI/CD best practices. Based in Denver, he blends freelance software development instincts with enterprise-grade architecture leadership and a knack for turning abstract questions into pragmatic, testable solutions.
9 years of coding experience
6 years of employment as a software developer
Foothill High School
Bachelor of Science - BS Statistics, Bachelor of Science - BS Statistics at UC Santa Barbara
Bachelor's degree Elementary Particle Physics, Bachelor's degree Elementary Particle Physics at Lund University
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Contributions:163 pushes in 11 months
blog-siterulerblog-projectjekylljekyll-theme
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.