Real-Time Data Integration for Smart City Infrastructure

As urban areas increasingly rely on interconnected systems to manage everything from traffic to public safety, the volume of data generated becomes overwhelming. Our government agency, responsible for managing smart city infrastructure, faces challenges in efficiently integrating and analyzing this data in real-time. The proposed project will establish a robust data engineering framework using Apache Kafka for event streaming, Spark for data processing, and Airflow for orchestrating workflows. Additionally, dbt will be utilized for transforming data, while Snowflake and BigQuery will handle storage and analysis. By implementing a data mesh architecture, we aim to improve data observability and accessibility across departments. This solution will enable real-time analytics, providing insights that enhance resource allocation, emergency response, and infrastructure maintenance. The project will ensure scalable, reliable, and efficient data management, essential for future smart city expansions and public service enhancements.