{"repo":"viktoriasemaan/data-engineering","free":true,"listed":false,"github":"https://github.com/viktoriasemaan/data-engineering","clone":"git clone https://github.com/viktoriasemaan/data-engineering.git","description":"🚀 Advanced Data & AI Engineering Portfolio: Real-world projects and production-ready patterns to level up your AI skills—from building clean data pipelines to deploying RAG systems, AI agents, and intelligent dashboards.","language":"Jupyter Notebook","stars":106,"topics":["ai","data-engineering","databricks","spark"],"license":"MIT","category":"data-pipelines","readme_excerpt":"🚀 Data Engineering Portfolio Real-world data engineering projects and tutorials covering Data & AI technologies. Projects 📊 Lakehouse Tutorial Your first complete data engineering project - build a production lakehouse from scratch using Apple Health data. Learn Spark, Delta Lake, and Unity Catalog fundamentals. Skills: Medallion Architecture • Unity Catalog • Delta Lake • Apache Spark • SQL Optimization • Data Quality More projects coming soon... --- 👋 About: This portfolio showcases hands-on data engineering projects designed for practitioners to advance their knowledge in the data & AI space. Each project includes complete tutorials, sample data, and production-ready patterns. ⭐ Star this repo if you find it helpful for your data engineering journey! 📄 License This project is licensed under the MIT License - see the LICENSE file for details. --- 🔗 Connect Let’s stay in touch and keep learning together! --- Contributing: Found a bug or have an improvement? Feel free to open an issue or submit a pull request!","default_branch":null,"files":null,"tree":[],"storefront":"/r/viktoriasemaan","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/viktoriasemaan/data-engineering/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}