1. Introduction Welcome to this comprehensive tutorial on building a Serverless Data Lake Foundation using AWS Glue. By the end of this guide, you will be able to design and implement a robust, automated pipeline that extracts raw data from Amazon S3, transforms it into an optimized analytics-ready format, and makes it available for querying via Amazon Athena. This architectural pattern is highly useful because it completely eliminates the need to manage underlying servers, clusters, or infrastructure, allowing you to focus entirely on your core data logic. Furthermore, it automatically scales out alongside your data volume, ensuring long-term cost-effectiveness since you only pay for the exact compute resources consumed during the active transformation process. Whether you are dealing with daily batch processing operations or aggregating vast amounts of historical data, mastering this foundational architectural pattern is a critical and necessary milestone in modern data engineering. 2.…