Summary
Benjamin Namovicz is a data engineer with eight years of technical experience who builds reliable ETL pipelines using Python, SQL, and AWS to turn messy data into actionable insights. A University of Maryland graduate in Mathematics and Computer Science, he has applied ML and NLP techniques during an academic internship and productionized data scraping and cleaning tools to accelerate court-data collection and improve accuracy. At EAB he designs and maintains cloud-native pipelines, combining analytical rigor with pragmatic engineering. Comfortable collaborating remotely and leading small teams, he also brings a background in tutoring and leadership from collegiate roles that sharpen his communication and mentoring.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics and Computer Science, 3.71, Bachelor's degree, Mathematics and Computer Science, 3.71 at University of Maryland
4.35, 4.35 at Montgomery Blair High School
Spanish, English