Real-Time Data Analytics Platform for Predictive Policing

Our enterprise company is seeking an experienced data engineering team to build a real-time data analytics platform tailored for the Law Enforcement & Security industry. This platform aims to enhance predictive policing capabilities by integrating data from multiple sources such as public records, social media, and surveillance systems. The project involves setting up a robust data pipeline using Apache Kafka to handle data ingestion and Spark for processing. Airflow will be utilized for workflow orchestration, while dbt will manage data transformation to ensure data quality and accuracy. The processed data will be stored in Snowflake and BigQuery, enabling seamless real-time analytics and visualization through Databricks. The platform will also incorporate MLOps practices for deploying and monitoring machine learning models that provide actionable insights. This initiative is crucial for improving public safety by predicting crime hotspots and optimizing resource deployment.