Matthew Hamilton
Lead Data Engineer
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolMatthew Hamilton is a Lead Data Engineer with eight years of experience building resilient data platforms and automations that turn messy inputs into reliable insights. He excels at parsing and transforming unstructured sources (including custom recursive descent parsers for PDFs), scaling PySpark/BigQuery pipelines that process terabytes per day, and operationalizing analytics via Airflow, DBT, and AWS. Matthew has repeatedly cut runtime and rendering times dramatically—rewriting models to reduce runtimes by ~96% and improving dashboard performance by up to 90%—while also building tooling to simplify deployments and sandbox access for analysts. A former McKinsey senior engineer and long-time CTA contributor, he blends hands-on engineering with practical product instincts, shipping synthetic-data generators, deployment automation, and PowerBI tweaks that actually change how teams work. He’s comfortable both improving low-level performance and removing everyday friction for analysts—often by automating the boring but brittle parts of data work.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.) Mathematics, Bachelor of Science (B.Sc.) Mathematics at University of Chicago
English, FrenchProgramming languages (1)
Github contributions (1)
csj/code-a-la-mode
May 2018 - Mar 2019
Contributions:8 commits in 9 months
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