Developing the Data Infrastructure for Analyzing COVID-19 Related Wearable Device Data

The goal of our team was to establish an automated ETL (Extract, Transform, Load) Pipeline that extracts raw wearable data (from Fitbit and Garmin APIs), transforms the data, and loads it to the PostgreSQL database (Covidentify Analysis Database) in Microsoft Azure. This repository is a mirror of the code that exists within Azure’s ML Studio. The ETL Pipeline enables researchers to easily query data from Covidentify Analysis Database to use it for modeling.