Real-Time Event Streaming and Data Mesh Implementation for Municipal Service Optimization

In the rapidly evolving landscape of municipal services, our enterprise is committed to achieving operational excellence through data-driven strategies. We propose a project to develop a real-time event streaming system, underpinned by a data mesh architecture, to empower various municipal departments with timely, actionable insights. The initiative will involve integrating event streaming technologies like Apache Kafka to ensure seamless data flow and implementing Spark for efficient data processing. Additionally, we will utilize Airflow for orchestrating complex data workflows and dbt for transformation tasks. Snowflake and BigQuery will serve as the primary data warehousing solutions, facilitating data storage and retrieval with high efficiency. Our end goal is to improve service delivery response times, enhance citizen satisfaction, and enable data-driven policy making. Through MLOps and data observability tools, we will ensure that our data pipelines are robust, reliable, and continuously monitored for performance optimization.