Data Engineering, in simple terms, refers to the process of converting Raw data into ready data for analytics, it involves extracting data from different sources, transforming and cleaning it to ensure accuracy and consistency, and loading it into databases or data warehouses. Data Engineering focuses on creating pipelines to handle large volumes of data, enabling data scientists and analysts to derive meaningful insights and make informed decisions.