Summary
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