Major League Baseball team building data infrastructure for player development and operations
The Los Angeles Angels operate a Python + SQL + Apache Airflow stack focused on backend data pipelines rather than customer-facing analytics — a pattern typical of sports organizations prioritizing internal decision support over external platforms. Active hiring in operations and data roles, combined with projects centered on rehabilitation systems and scouting infrastructure, signals investment in player development technology. Pain points around cash reconciliation and timecard errors suggest manual operational friction that data tooling is intended to address.
The Los Angeles Angels are a Major League Baseball franchise based in Anaheim, California, competing in the American League's Western Division. The organization operates from Angel Stadium of Anaheim, their home since 1966. Beyond on-field competition, the Angels maintain technology and operations teams supporting player development, team administration, and stadium operations. Current focus areas include rehabilitation systems for MLB and Minor League Baseball players, standardized recovery methodologies across the organization, and data infrastructure serving scouting, player development, and in-game decision-making.
Python, pandas, SQL, SQL Server, PostgreSQL, Apache Airflow, Dagster, Bash, PowerShell, Linux, and Windows across their data and operations infrastructure.
A rehab system for MLB and Minor League players, organization-wide rehabilitation methodology standardization, and data infrastructure supporting scouting, player development, and in-game strategy.
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