Avinash Sharma

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

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

We have compiled a comprehensive collection of 600+ real interview questions across SQL, Python, and PySpark, sourced from mentees and professionals who have interviewed at top companies like EY, PWC, Accenture, Bain & Company, BCG, Infosys, McKinsey, Zoho, Freshworks, Kipi.bi, Tiger Analytics, Acolyte, Volkswagen Group, Mercedes-Benz, Siemens, and Cisco.

🔹 SQL: 200+ real interview questions covering Joins, Window Functions, CTEs, Indexing, Query Optimization, and Advanced SQL Scenarios—each with detailed explanations and hands-on examples.

🔹 PySpark: 200+ structured questions on RDDs, DataFrames, Spark SQL, Performance Optimization, and Real-World Use Cases, along with detailed explanations and executable solutions.

🔹 Python: A complete set of interview-focused Python exercises plus structured learning resources covering core Python, Pandas, NumPy, OOP, Functional Programming, and Data Engineering workflows—all designed for easy execution in Google Colab.

Each question comes with detailed documentation and explanations, ensuring you understand the logic behind every solution. If you're preparing for data engineering, analytics, or software roles, this is your go-to resource for hands-on learning. 🚀

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