Brandon Segal

Senior Analytics Engineer, Spotify

Brandon Segal is a Philadelphian working as a Senior Analytics Engineer at Spotify, working within their internal data platform team to understand how the teams at Spotify are collecting data and transforming it into insights. His ways of working have been greatly influenced by his previous experience as a data scientist and software engineer at Capital One with their ML feature platform. Since joining Spotify, he has worked on bringing software engineering best practices to his insights teams by introducing standard practices like semantic versioning, integration testing, and monitoring to improve data product quality.

Talk: dbt: Embedding Software Engineering into the Analytics Workflow