Real-Time Analytics and Data Engineering Platform for Sports Performance Optimization

In the highly competitive landscape of professional sports, gaining a competitive advantage through data-driven insights is critical. Our enterprise sports organization faces the challenge of integrating and analyzing massive volumes of data from various sources such as athlete wearables, stadium sensors, and fan interaction platforms. The goal of this project is to build a robust data engineering platform that supports real-time analytics, enabling coaches to make informed decisions quickly and enhancing the overall fan experience with personalized content delivery. Key tasks include setting up a data mesh architecture using technologies like Apache Kafka for event streaming, Spark for large-scale data processing, and Airflow for orchestrating complex data workflows. The platform will integrate with dbt for transformation and provide seamless access to analytics-ready data via Snowflake or BigQuery. The successful implementation of this platform will not only improve athlete performance but also drive fan engagement and loyalty through personalized experiences.