Real-Time Data Pipeline Development for Wearable Medical Devices

We are a fast-growing startup in the Medical Devices industry, developing next-generation wearable technology that continuously monitors vital health metrics. Our goal is to provide healthcare providers with immediate access to critical patient data, enabling timely interventions and improved patient outcomes. To achieve this, we require a sophisticated real-time data pipeline capable of ingesting, processing, and analyzing data from multiple devices. This project involves setting up a scalable infrastructure using Apache Kafka for event streaming, Spark for real-time analytics, and Airflow for workflow management. The data will be stored and further analyzed using platforms like Snowflake and BigQuery. Additionally, we'll integrate data observability tools to ensure reliability and performance. The successful outcome of this project will position us to deliver unmatched value to our target audience: healthcare providers, who demand real-time insights to make informed decisions. By leveraging this pipeline, we aim to enhance patient care and open new opportunities in predictive health analytics.