Moves data from various sources into AWS data lakes, targeting either S3 Tables or standard Iceberg depending on what you've already adopted. Handles the full range: local files, S3, JDBC databases (Oracle, Postgres, MySQL, SQL Server), Redshift, Snowflake, BigQuery, DynamoDB, and Glue catalog migrations. The philosophy is smart: it checks your existing catalog setup and recommends S3 Tables for new work but doesn't force you off standard Iceberg if that's what you're using. Includes validation steps, scheduling options, and clear gotchas like the Spark catalog config quirks in Glue 5.x that will bite you if you put settings in the wrong place. Explicitly punts SaaS sources like Salesforce and Kafka to keep scope tight.
npx skills add https://github.com/aws/agent-toolkit-for-aws --skill ingesting-into-data-lake