I want to run a short series of live online sessions that introduce absolute beginners to data engineering, with a special emphasis on how modern data pipelines work from end to end. The audience will have little to no prior experience, so clear explanations, plenty of real-world examples, and hands-on exercises are essential. You will design the curriculum, host the sessions via Zoom or a similar platform, and supply concise slide decks, simple demo datasets, and runnable code notebooks so learners can follow along in real time. After each class I’ll need the session recording plus any companion materials uploaded for on-demand review. Key deliverables: • 3–4 live sessions (60–90 minutes each) that cover the fundamentals of data pipelines, illustrating ingestion, basic transformation, and loading. • Downloadable slides, Jupyter or Google Colab notebooks, and sample CSV/JSON files. • Post-session recordings and brief quizzes or practice tasks to reinforce the concepts. If you enjoy teaching, can translate technical topics into beginner-friendly language, and are comfortable fielding live Q&A, I’d love to hear how you’d structure the lessons and a brief outline of the tools you plan to showcase (e.g., Python, Pandas, simple SQL, or lightweight ETL services).