A labelled dataset for long-term performance of Ultra-low Temperature Freezers under normal and faulted states

This project is an ETL-styled data engineering project that Extracts raw data from various sources, Transforms this data to suit the needs of data analysts, and finally Loads this data into its destinations in Parquet format (a binary format that can be easily read by e.g. Python and R-based frameworks - with data types intact.)
The project is based on data from the ULT freezer models Revco UxF70086V WC and Haier DW-86L959W. It has been written in Python using an extensive OOP approach to enabling future expansions to other freezer models.