Data Engineering Interview Bundle — Advanced with Pranjal Patidar

Prepare for Data Engineering interviews with a structured collection of downloadable guides, coding questions, production scenarios and career resources.

Best for learners who want to revise SQL, Python and Spark, practise explaining technical decisions, and connect interview preparation with production context. This is a self-study digital bundle, not a live course or a placement programme.

WHAT IS INCLUDED

16 PDFs and one Excel consistency tracker, including:

• Module Navigation Guide — use this first to choose a preparation path.

• Data Engineering Systems Bible; Data Warehousing and Data Modeling Interview Guide; Modern Data Platform Case Studies.

• SQL, Python and Spark Interview Handbooks — 120 questions each.

• Airflow Interview Handbook; AWS Services for Data Engineers.

• SQL and Python Coding Practice with Solutions — 50 questions each.

• Production Problems in PySpark — 50 real-world cases.

• SQL and PySpark Query Pattern Book — 50 patterns.

• Scenario-Based Data Engineering Interview Handbook — 120 questions.

• Storytelling and Behavioral Interview Guide; First 90 Days as a Data Engineer.

• Excel Consistency Tracker.

HOW TO USE IT

Start with the navigation guide, choose the topics relevant to your target roles, attempt questions before reading solutions, and practise explaining the reasoning aloud. SQL syntax and platform behaviour can differ by engine; check examples against the system you use.

Plus, you get private WhatsApp group access for updated versions, improvements, and future additions to the bundle.

Choose the free Starter bundle if you want a smaller starting resource before deciding whether this broader collection fits your preparation. No resource guarantees an interview, job, salary or fixed preparation timeline.