Real-Time Data Pipeline and Analytics for Enhanced Patient Monitoring in Telemedicine

As a burgeoning telemedicine startup, we are committed to revolutionizing patient care through digital health solutions. Our goal is to implement a robust real-time data pipeline that manages patient data efficiently, enabling instant access to critical health metrics. The project involves setting up a scalable infrastructure using Apache Kafka for event streaming and Apache Spark for fast data processing. This infrastructure will feed into a data warehouse solution, such as Snowflake or BigQuery, where data can be queried and analyzed in real-time. Additionally, we aim to incorporate MLOps practices to streamline the deployment of machine learning models that predict patient health trends. Data observability tools will be used to ensure data quality and reliability. The outcome will empower healthcare providers with actionable insights, driving better decision-making and patient care. This project has high urgency due to growing demand and competitive pressure in the telemedicine industry.