I’m putting together a structured learning track for a small team of junior analysts who are stepping into data engineering roles, and I need an experienced trainer to lead it. The focus is squarely on three pillars—data warehousing fundamentals, end-to-end ETL process design, and modern big-data technologies (think Spark, Kafka, and cloud-native tooling). I’m aiming for an intermediate depth: the group already writes SQL and basic Python, so we can skip the absolute basics and dive straight into best-practice architectures, performance tuning, and hands-on lab work. All sessions will be delivered live over Zoom or a similar platform, ideally in two-hour blocks spread across several weeks. I’ll need you to supply concise slide decks, lab exercises that can be run on free-tier or sandbox cloud resources, and recordings of each session for later review. By the end of the program, participants should feel confident designing a warehouse schema, building scalable ETL pipelines, and orchestrating data jobs on a big-data stack. Deliverables: • Session outline and schedule before kickoff • Slide deck and code/lab files for every module • Live interactive instruction (online) with Q&A • Session recordings and short recap notes If this matches your expertise and you have proven teaching experience, let’s discuss timelines and finalize the curriculum.