DEV Tutorial: Build a Serverless AWS Data Lake with CDK in Python

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A developer tutorial series on DEV Community concludes with a hands-on guide to building a complete serverless data lake on AWS. The project uses five core services — S3, Glue, Athena, Lake Formation, and Lambda — wired together so that uploading a CSV file automatically triggers a pipeline that converts raw data into SQL-queryable Parquet files. The entire infrastructure is defined as code using AWS CDK in Python, making it reproducible and version-controlled via a single deployment command. All source code is publicly available on GitHub at github.com/alvarongg/serverless-datalake-aws, structured as a single CDK stack for simplicity. The tutorial targets developers beginning with data lakes and emphasizes that infrastructure-as-code is essential for anything heading to production.

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