Real-Time Waste Management Data Pipeline for Efficient Resource Allocation

As a burgeoning startup in the Waste Management industry, we are committed to revolutionizing the way waste collection and disposal are managed. To achieve this, we need to build a data engineering solution capable of providing real-time insights into our operations. The project involves designing and implementing a data pipeline utilizing Apache Kafka for event streaming and Spark for processing. We aim to create a system that integrates with our existing data sources, enabling seamless data flow and real-time analytics. The solution should also include data observability features to ensure accuracy and reliability in reporting. By leveraging technologies like Airflow for orchestration and Snowflake for data warehousing, the proposed system will enhance our ability to make informed decisions, optimize routes, and allocate resources more efficiently. The end goal is to minimize operational costs while maintaining high service levels.