Summary
Scott Dobbins is a data engineer at Meta with nine years of experience building ETL/ELT systems, data orchestration platforms, and guided ad-hoc BI tools for retail and enterprise clients. He blends rigorous scientific training (Columbia BA with honors, MS from Stanford) and hands-on ML/data science practice from NYC Data Science Academy to tackle production data challenges in Python and R. Previously he led platform development at 1010data and has applied analytics-driven strategy to drive program improvements and profitability in international education, working fluently across English and Mandarin. Comfortable moving workloads to the cloud and instrumenting scalable pipelines, he brings a rare combination of wet-lab computational research, product-facing engineering, and cross-cultural operational leadership. In his spare time he explores NLP/ML projects on his portfolio blog and pursues language learning and social ballroom dance, signaling an appetite for continuous learning and creative problem solving.
9 years of coding experience
7 years of employment as a software developer
B.A., Biochemistry, Honors, B.A., Biochemistry, Honors at Columbia University in the City of New York
Master of Science (MS), Biochemistry, Master of Science (MS), Biochemistry at Stanford University
English, Spanish, Chinese