Summary
Jordan Kail is a data-focused engineer with nine years of experience designing analytics platforms and turning fragmented cloud silos into production-ready data foundations for companies from startups to Meta. He’s led product data platform efforts and built domain-specific models for NFTs, gaming, wallets, and community products, with hands-on expertise in BigQuery, Airflow, Looker, and GCP migrations. Jordan combines machine learning and BI experience—having applied neural nets, clustering, and regression to churn and CLV problems—with a pragmatic engineering mindset that yields operational tooling like data quality dashboards and automated reconciliation systems. Based in Denver, he’s as comfortable architecting cross-functional data models as he is experimenting with new AWS tools or prototyping ideas in notebooks, and he brings a proven track record of aligning technical solutions to business outcomes.
9 years of coding experience
7 years of employment as a software developer
University of Colorado Boulder
Langley High School