Matthew Triano is a Data Engineer with a decade of experience building scalable, production-grade data platforms and analytics systems, now driving data initiatives at the National Association of Boards of Pharmacy from Chicago. He has designed end-to-end pipelines (Airflow, dbt, S3/Postgres, Docker) that processed hundreds of millions of measurements, and his data validation tooling influenced federal BEAD funding decisions nationwide. Comfortable spanning engineering and analysis, Matthew has built high-throughput load-testing systems, geocoding platforms, and automated ETL/monitoring stacks while mentoring graduate-level data scientists. His background includes hands-on operational and manufacturing leadership, giving him a pragmatic focus on reliability, cost control, and measurable impact. He holds an MS in Computer Science and a BS in Physics, and is known for turning complex regulatory and research problems into auditable, production-ready solutions.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at DePaul University
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at Purdue University
High School Physical Sciences, High School Physical Sciences at Grosse Pointe South
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