Data Engineering Solution for Real-Time Patient Monitoring and Analytics

As a growing SME in the Health Technology industry, we are looking to enhance our patient care services by developing a real-time patient monitoring and analytics platform. This project requires consolidating various health data sources, such as wearable devices, electronic health records, and telehealth systems, into a unified system capable of providing timely insights. The ideal freelancer will implement a data pipeline using technologies like Apache Kafka for event streaming, Spark for processing, and Snowflake for secure data storage. We aim to leverage MLOps for machine learning models to predict patient conditions and alerts in real time. This project should also employ data observability practices to ensure the integrity and accuracy of data analytics. Completion of this project will position us as a leader in delivering proactive health management solutions, improving patient outcomes, and meeting the increasing demand for real-time healthcare analytics.