Real-Time Analytics Platform for Optimized Waste Management Operations

Our company, a leader in Waste Management, is seeking an innovative data engineering solution to revolutionize our operations. We aim to develop a real-time analytics platform that will significantly improve our waste collection, processing, and disposal operations. Utilizing state-of-the-art technologies such as Apache Kafka for event streaming, Apache Spark for processing, and Snowflake for data warehousing, the platform will facilitate a data mesh architecture allowing for decentralized data ownership and improved collaboration across departments. The project will also incorporate MLOps practices to streamline the deployment and monitoring of machine learning models, enhancing predictive analytics capabilities. Moreover, implementing data observability tools ensures data accuracy and availability, essential for reliable analytics. This initiative is pivotal in reducing operational costs, improving resource allocation, and achieving sustainability goals. The project targets a 12-20 week timeline, balancing urgency with comprehensive development to ensure a robust solution.