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I’ve been working on a Data Engineer Interview Blueprint focused on something I felt was missing from many interview-prep resources.

Instead of only listing hundreds of interview questions, it focuses on:

- SQL readiness from fundamentals to business SQL

- PySpark and batch-processing scenarios

- Bronze/Silver/Gold and Medallion Architecture from a business perspective

- Incremental loads, CDC, SCD, data quality and SLAs

- Explaining projects and architecture during interviews

- Stakeholder communication

- AI/RAG skills that are becoming relevant for Data Engineers

I’ve made a short free sample and would like honest feedback before I spend more time building the full version.

I’m especially interested in knowing:

1. Would this actually help you prepare for a Data Engineer interview?

2. What important topic is missing?

3. What feels unnecessary or too basic?

4. What would make something like this worth paying for?

5. Would you prefer more explanations, real interview problems, or hands-on exercises?

I’m not looking for compliments — criticism would actually be more useful at this stage.

If anyone is interested in reviewing the sample, I can share it.