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UID:pretalx-scipy-2026-SUPRRW@pretalx.com
DTSTART;TZID=CST:20260715T152500
DTEND;TZID=CST:20260715T155500
DESCRIPTION:This talk showcases a complete Python-based data pipeline for c
 apturing and analyzing test data from electric motors powering BETA Techno
 logies' fully electric CTOL (Conventional Takeoff and Landing) and VTOL (V
 ertical Takeoff and Landing) aircraft. We demonstrate how Python's open-so
 urce ecosystem enables seamless integration from edge to analytics: custom
  loggers decode machine data\; a home-built data service batches and store
 s raw data in Apache Iceberg on AWS\; dbt defines transformations that loa
 d into Redshift for analytics\; Trino supports querying and joining to dat
 a 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 t
 erabyte-scale test data.
DTSTAMP:20260715T023004Z
LOCATION:Johnson Great Room
SUMMARY:Electrifying Aviation with Python: An End-to-End Data Pipeline from
  Test Stand to Analytics - Sarah Tabor
URL:https://pretalx.com/scipy-2026/talk/SUPRRW/
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