Data engineering involves the assortment, transformation and ingestion of data in a standard format into a consolidated data warehouse so that Data Scientists/Analysts can use it to generate insights. In an analytics project, only 20% (if not lesser) of the work is actually deriving insights from data through data science-based tools and techniques, while the…