Designing Data Pipelines

The scope of the project was to design data pipelines that collect and process data related to the status of components (battery, memory, etc) of fleets of smart devices (laptop, desktop, mobiles, etc). The data was further transmitted to AI modules that made predictions about the health of the devices. The Data Pipelines were implemented in Python and deployed on AWS. The project is integrated into a SaaS application and has been in production for over 3 years.