GCP Data Engineering Project | Processing Patient Health Data Using DataProc | Pyspark | GCS
This project focuses on processing patient health data, including vital signs such as heart rate, blood pressure, and body temperature, to generate meaningful insights for proactive monitoring. Leveraging Google Cloud Dataproc and PySpark, the pipeline ingests, transforms, and analyzes health metrics at scale. The final insights are stored in BigQuery for reporting, visualization, and anomaly detection in patient vitals — enabling better clinical decision-making and health outcome tracking.