Real-Time Patient Data Streaming and Analytics Platform

As a forward-thinking healthcare startup, we're focused on harnessing real-time data to enhance patient outcomes and streamline medical operations. Our vision is to create a platform that provides immediate insights into patient data, enabling healthcare providers to make informed decisions swiftly. This project requires the design and implementation of a real-time data streaming architecture. You will be responsible for setting up and configuring Apache Kafka for event streaming, using Spark for real-time data processing, and integrating with Snowflake for data warehousing. Additionally, you will implement data observability practices to ensure data quality and reliability, and develop MLOps pipelines for deploying machine learning models in production. The goal is to create a scalable, resilient, and efficient data infrastructure that aligns with our mission to revolutionize healthcare delivery.