Real-Time Freight Management Data Platform

Our transportation company is seeking a data engineering solution to revolutionize our freight management system. The project aims to build a real-time data platform that integrates various data sources and provides actionable insights for logistics optimization and predictive analytics. We want to utilize technologies such as Apache Kafka for event streaming, Snowflake for data warehousing, and Apache Spark for processing large datasets. The platform should be capable of handling high-velocity data from IoT devices and external data feeds, allowing for real-time analytics and decision-making. By implementing MLOps practices, the solution should facilitate the deployment and monitoring of machine learning models that predict demand fluctuations and optimize delivery routes. The project will ensure data observability and improve overall operational efficiency, ultimately leading to improved customer satisfaction and cost savings.