This video demonstrates how to build ETL pipelines on AWS using various services. It covers three main scenarios: ingesting data from an SQL database into a data lake using AWS Data Pipeline, streaming IoT device data with Kinesis Firehose, and automating downloads from AWS Data Exchange. The presenter walks through the setup process for each pipeline, showcasing the AWS console interfaces and configuration options. Key services highlighted include AWS Data Pipeline, Kinesis Firehose, and the AWS Data Exchange Subscriber Coordinator. The video provides practical examples of how to leverage AWS tools to efficiently move and process data for analytics and other downstream uses.