AWS recently introduced support for S3 Object Lambda, allowing users to anonymize data at access time using tools such as Gretel Transforms. This blog demonstrates how to launch a real-time S3 object transformation service using the following stack: AWS Lambda with containers, managed by Serverless; AWS API Gateway; S3; and Gretel Transforms. The solution design involves creating an API endpoint for generating pre-signed URLs to fetch and transform S3 objects. To test this solution, a pipeline is constructed using Gretel Transforms, which can be used to transform entire DataFrames. A Docker container is built on the AWS Lambda Python image, containing the handler.py module. The serverless.yml file manages the AWS infrastructure and resources needed for the system.