Real-Time Crime Data Integration and Analytics Platform

Our enterprise company in the Law Enforcement & Security industry is seeking a data engineering expert to develop a Real-Time Crime Data Integration and Analytics Platform. The platform will leverage technologies like Apache Kafka, Spark, and Databricks to handle large volumes of streaming data from multiple sources, including public safety databases, social media feeds, and IoT devices. The project aims to enhance the decision-making capabilities of law enforcement agencies by providing real-time insights into crime trends and patterns. The solution will involve the implementation of a data mesh architecture to decentralize data management, allowing for better scalability and flexibility. Data observability tools will be integrated to ensure high data quality and reliability. The platform will also utilize Apache Airflow and dbt for workflow orchestration and data transformation, ensuring smooth data pipelines. Snowflake or BigQuery will be used for data warehousing, providing a scalable and cost-effective solution for storing and querying large datasets. Ultimately, this platform will empower law enforcement agencies to proactively tackle crime, improve public safety, and optimize resource allocation. We anticipate the project to span 16-24 weeks and require a budget between $50,000 and $150,000.