Built a Real ETL Pipeline (Food Delivery Data) | Python Data Engineering Project

Welcome to Data Network! 🌐 🚀 In this project, I built a complete ETL (Extract, Transform, Load) pipeline using Python and Pandas on a food delivery dataset. Dataset: https://www.kaggle.com/datasets/moeza... 🔹 What this project covers: Extracting raw data from a CSV file Cleaning and transforming data (handling nulls, duplicates, timestamps) Creating structured tables (dimensions & facts) Loading processed data for analysis 🔹 Tools & Technologies: Python Pandas ETL Pipeline Design 🔹 Key Features: Data cleaning (missing values, duplicates) Datetime transformation Modular ETL structure (Extract, Transform, Load) Real-world food delivery dataset simulation 💡 This project is perfect for: Aspiring Data Analysts Beginner Data Engineers Anyone building a data portfolio 📌 If you’re learning data engineering, this is a great hands-on project to understand how real pipelines work. 🔥 Don’t forget to like, comment, and subscribe for more data projects! #DataEngineering #Python #ETL #DataAnalytics #Pandas #PortfolioProject 💼 Got a data project? Need help with analytics or building pipelines? You can contact me directly: Email: [email protected] LinkedIn: www.linkedin.com/in/robin-3b721b34a Let’s collaborate and turn your data into actionable insights! Make sure to subscribe and hit the notification bell 🔔 to stay updated on all things data engineering and analytics.