Logan Cooper
Data Engineer @The Museum of Modern Art
Signup · Get unlimited contacts
WORK HISTORY
Data Engineer @The Museum of Modern Art
NY, US
Cut runtime of 13 mission-critical ETL data pipelines from 30 to 10 minutes and increased their frequency from daily to half-hourly by migrating them from a legacy system to GCP: fetching data with Dockerized Python scripts, processing it with SQL/BigQuery, and making it available to analysts- Developed a new batch job with Python, SQL, and BigQuery integrating on-prem and cloud data into a dashboard on outgoing art loans, slashing request time for data by 95% and making it available to non-technical curators- Explored using Terraform to define BigQuery resources, enhancing our disaster recovery capabilities.
EDUCATION
Freie Universität Berlin
Study Abroad Program, Volkswirtschaftslehre (Economics)
Duke University
Master of Science - MS, Economics and Computation
App Academy
Full Stack Web Development
University of California, Santa Cruz
Bachelor of Arts (B.A.), Global Economics
SKILLS
ABOUT LOGAN COOPER
I am a data scientist with over five years of experience in data science, software engineering, and data engineering. At EBP Consulting, I have produced analyses and developed economic modeling products using R, Python, and SQL leading to over one million dollars in revenue. I have professional experience using Python, R, SQL, JavaScript, and Java. I hold a M.S. in Economics and Computer Science from Duke University.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.