Real-Time Data Pipeline Development for Medical Device Analytics

As a dynamic scale-up in the medical devices sector, we are committed to leveraging real-time data to enhance patient care and regulatory compliance. We need a data engineering solution to ingest, process, and analyze data from our devices in real-time. This project requires building a complete data pipeline using Apache Kafka for event streaming, Spark for real-time data processing, and Snowflake for secure data storage and analytics. Additionally, we aim to implement MLOps practices to integrate machine learning models into our pipeline for predictive analytics. The successful implementation of this project will enable us to provide actionable insights to healthcare providers, enhancing treatment accuracy and patient outcomes. We envision a 6-10 week timeline to deploy a scalable, maintainable solution that complies with industry standards and supports future growth.