Development of a Real-Time Data Pipeline for Enhanced Service Delivery

As a growing social services organization, we are committed to addressing the needs of our diverse community more effectively. Our current data infrastructure relies heavily on batch processing, which delays insights and impacts our ability to respond swiftly to urgent cases. We are seeking a skilled data engineer to help us transition to a real-time data pipeline that will allow us to streamline operations and improve service delivery. This project involves setting up a scalable data architecture using Apache Kafka for event streaming, Spark for real-time analytics, and integrating with data warehouses like Snowflake or BigQuery for long-term storage. The goal is to create a responsive system that provides immediate insights into our service operations, client needs, and resource allocation. The pipeline should also incorporate data observability tools to monitor data flow and quality continuously, ensuring data remains accurate and actionable. By shifting to real-time analytics, we aim to significantly improve our decision-making processes, better allocate resources, and enhance our ability to meet regulatory compliance requirements.