👨‍💻 Week 4 of Learning in Public with dlt is here! This week, we built powerful pipelines using dltHub to fetch live GitHub data, sync it incrementally, and handle deduplication — all with clean, modular Python code. 💡 What we learned: ✅ Connect to GitHub API with dlt ✅ Sync fresh data only with @dlt.incremental ✅ Use merge mode to update records cleanly ✅ Modularize with @dlt.source ✅ Build dynamic pipelines for multiple GitHub repos 🚀 Why it matters: We’re learning to build real pipelines that scale — ready for DuckDB, BigQuery, Snowflake & more with minimal changes. 🔗 Week 4 Repo: http://github.com/1997mahadi/Data-Engineering-with-dlt/tree/main/week-04_build-pipeline 📌 Follow the full journey: LinkedIn Post: https://www.linkedin.com/posts/mahadi-nagassou-850a87254_dataengineering-python-dlt-activity-7367151780440334336-LYEN?utm_medium=ios_app&rcm=ACoAAD7Os_wBFAAF1g7fKTnQFhj7G6uWNYukvWw&utm_source=social_share_send&utm_campaign=copy_link Let’s keep learning, building, and sharing — one pipeline at a time! 🌍💻