Summary
Robert Banick is a data engineer specializing in geospatial and climate datasets with 12 years of experience applying Pythonic, cloud-native solutions to environmental and humanitarian challenges. He builds and operationalizes multi-terabyte n-dimensional pipelines—packaging code into open-source tools—while designing serverless orchestration and infrastructure on AWS using Prefect and CDK. Previously at the World Bank he developed scalable geospatial toolkits and distributed analysis pipelines (PySpark, Dask, Scala) to inform subnational economic and resilience investments. Field deployments with MSF, Red Cross and other NGOs give him rare operational experience translating high-pressure humanitarian needs into production-ready analytics. Trained as an environmental economist (SOAS) and grounded in geography (George Washington University), he combines rigorous domain knowledge with strong soft skills and a persistent focus on environmental impact. Based in Mexico City, he’s equally comfortable optimizing FastAPI/Dask stacks as scoping on-the-ground mapping requirements.
12 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Geography, Latin American Studies, Magna Cum Laude, Bachelor's Degree, Geography, Latin American Studies, Magna Cum Laude at George Washington University
Master of Science - MS, Environmental Economics, Distinction (1st), Master of Science - MS, Environmental Economics, Distinction (1st) at SOAS University of London
English, Spanish, Nepali