Real-time Data Pipeline Enhancement for Medical Device Analytics

As a growing player in the medical devices industry, we are committed to leveraging data to drive innovation and ensure superior patient outcomes. Our current data infrastructure, however, is struggling to keep pace with the increasing demand for real-time analytics and insights. This project seeks to overhaul our existing data pipeline by incorporating state-of-the-art technologies such as Apache Kafka for event streaming, Spark for real-time data processing, and Snowflake for efficient data warehousing. We are also looking to implement Airflow for workflow automation and Databricks for advanced analytics. This initiative will not only enhance our data processing capabilities but also ensure compliance with stringent regulatory standards. The successful candidate will need to design, develop, and deploy a scalable data architecture that supports our strategic objectives, including real-time data observability and MLOps for predictive analytics. The project is essential for maintaining our competitive edge and meeting the evolving market expectations.