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
5 years of employment as a software developer
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at University of Maryland
Complete Math Science and Computer Science Magnet Program., Complete Math Science and Computer Science Magnet Program. at Montgomery Blair High School
Spanish, English