Real-Time Data Pipeline for Efficient Disaster Relief Coordination

In the wake of natural disasters, timely and coordinated relief efforts can significantly mitigate human suffering and economic loss. Our SME in the Disaster Relief industry is seeking an experienced data engineering professional to design and implement a real-time data pipeline. This solution will integrate data from various sources including government agencies, NGOs, and on-ground volunteers. Leveraging technologies such as Apache Kafka for event streaming, Spark for processing, and Airflow for orchestration, the pipeline will enable real-time analytics and decision-making. Furthermore, using tools like dbt for data transformation and Snowflake or BigQuery for storage, the system will ensure data is accurate, up-to-date, and accessible. The goal is to provide stakeholders with a comprehensive view of ongoing relief efforts, allowing for better-informed decisions, efficient resource deployment, and improved response times. The project will focus on scalability and data observability to handle significant data volumes during high-demand periods.