Real-World Data Engineering Workflow ⭐

In this session, I'll walk you through a real-world Data Engineering workflow based on industry practices and my professional experience, helping you understand how modern data platforms are designed, built, and maintained.

What we'll cover:

✅ End-to-end Data Engineering workflow

✅ How data flows from source systems to analytics

✅ ETL vs ELT in real-world projects

✅ Data Lake, Data Warehouse & Lakehouse architecture

✅ Bronze, Silver & Gold (Medallion Architecture)

✅ Role of AWS, Databricks, PySpark, SQL & Airflow

✅ CI/CD and deployment workflow for data pipelines

✅ Data quality checks and monitoring

✅ Version control using Git

✅ Common production challenges and best practices

✅ How different tools work together in an enterprise environment

Perfect for:

🎓 College Students

👨‍💻 Fresh Graduates

🚀 Aspiring Data Engineers

💼 Professionals transitioning into Data Engineering

📚 Anyone who understands the basics but wants to see how everything connects in the real world