I am Stella and with 3 years in mainstream data engineering and 6 years of experience in geospatial data science and project management, I've learned an important lesson: while keeping up with the ever-evolving field of Data Engineering is crucial, it's not always feasible to rapidly apply every new skill to every DE role. The diverse classifications of data we encounter require a nuanced approach.

On this page, I'll share and write about simple yet powerful nuggets that, despite seeming outdated in the face of advancing technology, can significantly enhance your extraction, transformation, and loading (ETL) pipelines for data management, machine learning, and analytics.