A clearer way into data.

Data Pipeline HQ is an independent journal about data engineering, published by Vedang Kharsamble. It is for curious beginners and readers who want the reasoning behind a pipeline, not just a list of products.

What you’ll find here

Explanations of core concepts, worked examples, and practical questions to ask when designing a system. The journal launches with two foundations: what data engineers do, and how ETL differs from ELT.

Who publishes it?

Vedang Kharsamble is the publisher and contact for this website. This site does not claim professional certifications, employment history, or project experience that has not been supplied and verified.

How the articles are prepared

The launch articles were drafted with AI assistance. Examples are illustrative, and external technical references are linked where useful. We do not present generated anecdotes as personal experience. The publisher should review and take responsibility for the content before seeking monetization.

Read the editorial policy for our approach to sources and corrections. Questions or suggestions are welcome at vedangkharsamble@gmail.com.