End-to-end data engineering platform simulating a real-time ride-sharing network in Sao Paulo. Features a multi-agent discrete event simulator that generates synthetic traffic, rides, and financial data, processed through a modern Lakehouse architecture using Kafka, Databricks, Delta Lake, and Airflow.
This project is an end-to-end data engineering platform that simulates a real-time ride-sharing network in São Paulo, using a multi-agent discrete-event simulator to generate synthetic traffic, rides, and financial data. It processes this data through a modern Lakehouse architecture, featuring parallel real-time (Kafka → Redis → WebSocket) and batch (K
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