Matthew Hamilton is an experienced data engineer currently working at McKinsey & Company since October 2022, where leadership in building a sanitized data layer for US Telecom enables near real-time customer journey analysis, processing over 1TB of data per day using technologies such as PySpark, BigQuery, DBT, and Airflow. Prior experience includes a consultant role at Slalom, migrating healthcare data to Salesforce, and a significant tenure at the Chicago Transit Authority, where Matthew progressed from Performance Management Analyst to Senior Data Engineer, overseeing AWS deployment automation and infrastructure rebuilds. Educational qualifications include a Bachelor of Science in Mathematics from the University of Chicago, complemented by research experience under Steven Levitt and a history of internships that showcased abilities in data automation and analysis.
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