Avinash Sharma

Note: These are not random questions from the Internet, you get well documented question and answers from real interview experiences.

Sample docs SQL:

https://drive.google.com/drive/folders/1VeXNaByJ5bqXXlZHm9cHwgSeRlQx0oJu?usp=drive_link

Sample docs PySpark:

https://drive.google.com/drive/folders/1EmfV1_9T3H-v03viTVOwoEqIOb4QT9_d?usp=drive_link

⚡ Master SQL, Python & PySpark with 600+ Real Interview Questions

Note: These aren’t random internet questions — each one is based on real interview experiences and comes with clear explanations and hands-on examples.

I have compiled 600+ real interview questions across SQL, Python, and PySpark, collected from mentees and professionals who’ve interviewed at top companies like EY, PwC, Accenture, BCG, Infosys, McKinsey, Zoho, Freshworks, Tiger Analytics, Volkswagen Group, Mercedes-Benz, Siemens, and Cisco.

🔹 SQL (300+ questions): Joins, CTEs, Window Functions, Indexing, Optimization, and Advanced Query Scenarios — all with step-by-step breakdowns.

🔹 PySpark (200+ questions): RDDs, DataFrames, Spark SQL, Performance Tuning, and Real Project Use Cases — ready to run in Google Colab.

🔹 Python (200+ questions): Core concepts, Pandas, NumPy, OOP, and Data Engineering workflows — perfect for coding rounds.

Every question is well-documented and practical, helping you understand why a solution works, not just what the answer is.

If you’re preparing for data engineering, analytics, or software interviews, this is your all-in-one practice resource. 🚀

📩 DM me or WhatsApp +91 7999498574 if you’d like to check out a few sample docs.