Data Engineering Interview Preparation #1: Python, Pandas, SQL and DuckDB
Summary : Start your Data Engineering interview preparation with a practical Kaggle notebook covering Python, Pandas, SQL, DuckDB, data validation and Python/SQL result verification. If you are preparing for a Data Engineering interview, knowing Python and SQL syntax is only the beginning. You also need to understand how data moves through a workflow, how transformations are validated, and how to explain your technical decisions clearly. That is the purpose of Data Engineering Interview Preparation #1 , the first practical asset in my progressive Data Engineering interview-preparation series. This notebook is designed to give learners a low-friction starting point. It uses the Kaggle notebook environment and a small Sales Transactions dataset to connect Python, Pandas and SQL through practical examples. What You Will Learn In this first notebook , you will practice: Python variables and basic data types Lists, indexing, slicing and mutation Dictionaries and nested dicti...