Real-Time Data Pipeline Optimization for Aerospace Manufacturing

As an SME in the Aerospace & Defense industry, we are challenged with managing vast amounts of real-time data generated by manufacturing processes and IoT devices on the production floor. Our current data infrastructure suffers from high latency and occasional data inconsistencies, which impact our ability to make timely and accurate decisions. We are looking to engage a skilled data engineer to design and implement an optimized real-time data pipeline. The project will involve leveraging technologies such as Apache Kafka for event streaming, Apache Spark for data processing, and Airflow for orchestrating workflows. We aim to create a robust data architecture that supports real-time analytics, ensuring that our teams have access to reliable data when they need it. This initiative will also incorporate data observability tools to monitor the health and performance of the data pipelines continuously. The successful execution of this project is expected to significantly enhance our production efficiency, quality control processes, and overall competitiveness.