Real-Time Patient Data Integration and Analytics Platform

We are a leading enterprise in the telemedicine industry, looking to develop an innovative data engineering platform that can process and analyze real-time patient data. The proposed solution should integrate with existing telemedicine systems and facilitate seamless data flow across various departments, ensuring all stakeholders have timely access to critical patient information. Our goal is to leverage technologies such as Apache Kafka for event streaming, Spark for real-time analytics, and Airflow for workflow orchestration. The platform will also incorporate dbt for data transformation and employ Snowflake or BigQuery for secure and scalable data storage. By employing a data mesh architecture, we aim to decentralize data ownership and empower teams to manage their respective datasets independently. The solution should include features for data observability to monitor data quality and support the deployment of machine learning models through MLOps practices. This initiative is part of our broader strategy to enhance patient engagement and deliver superior healthcare services.