Summary
Dustin Leatherman is a Senior Data Scientist with a decade of experience turning complex data into actionable business impact, now applying his expertise at Civis Analytics from Burlington, Vermont. He blends statistical rigor (M.S. in Applied Statistics, 4.0) with hands-on engineering and leadership—having built CI pipelines, configuration-driven Spark ETL frameworks that cut cloud costs by ~90%, and grown operational teams into product-focused organizations. His background spans credit risk model tooling, time-series forecasting for cloud spend optimization, and instituting testing and incident-management practices that materially reduced production defects. Comfortable presenting to both technical architects and product leadership, Dustin pairs mentoring and process design with deep technical delivery across Python, Spark, and data-platform ecosystems. An instructor-turned-practitioner, he also brings classroom experience guiding capstone projects that bridge theory and production-ready engineering.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, 3.76/4.0, Bachelor of Science (B.S.), Computer Science, 3.76/4.0 at Dominican University
M.S. in Applied Statistics, Statistics, 4.0 / 4.0, M.S. in Applied Statistics, Statistics, 4.0 / 4.0 at DePaul University
French