Sarah Tabor
Sarah Tabor is a Data Scientist and Data Engineer at BETA Technologies, a Vermont based aerospace company designing and building the future of electric flight.
Sarah designs and builds cloud-native data pipelines from source to analysis using Python and open-source tools, all in service of a "Data For All" philosophy that democratizes access to data and insights for anyone at BETA, from engineers to executives.
Sarah holds BBAs in Economics, Finance and Business Analytics from the University of Iowa, and an MS in Complex Systems and Data Science from the University of Vermont.
Session
This talk showcases a complete Python-based data pipeline for capturing and analyzing test data from electric motors powering BETA Technologies' fully electric CTOL (Conventional Takeoff and Landing) and VTOL (Vertical Takeoff and Landing) aircraft. We demonstrate how Python's open-source ecosystem enables seamless integration from edge to analytics: custom loggers decode machine data; a home-built data service batches and stores raw data in Apache Iceberg on AWS; dbt defines transformations that load into Redshift for analytics; Trino supports querying and joining to data from other sources; and Grafana serves visualizations, all provisioned via AWS CDK in Python. By leveraging modern data infrastructure and cloud solutions, we built an accessible, maintainable solution that handles terabyte-scale test data.