Advanced AWS Data Engineering Training

I’m setting up an intensive, expert-level course for a team that already designs and operates complex AWS workloads. The objective is to deepen their Data Engineering skills on AWS, so we need a trainer who can move straight past fundamentals and into real-world architecture, scaling strategies, and cost-efficient design. Core focus: Data Engineering with AWS, specifically • Data Storage Solutions • Data Processing & ETL • Big Data Analytics Your role is to craft and deliver a hands-on program that blends concise theory, architectural white-boarding, and live labs. Glue, EMR, Redshift, Lake Formation, Kinesis, Lambda, Step Functions, and related services should feature prominently, but I’m open to your proven toolset and workflows. Deliverables 1. Detailed syllabus and timeline (8–12 teaching hours or a schedule you recommend) 2. Slide deck, lab guides, and reference material in shareable formats 3. CloudFormation/Terraform templates or sample code used in demonstrations 4. Short post-session assessment and follow-up Q&A documentation Sessions will run virtually during GMT +5:30 business hours, though we can adjust if needed. Each of the three focus areas above must include at least one practical exercise that leaves participants confident enough to deploy a scalable data pipeline on their own. If you’ve recently led similar advanced workshops, share a brief outline or feedback highlights so I can see your approach.

Project ID: 40451008