Developers face challenges in meeting stringent privacy and compliance regulations, such as GDPR, when handling personal information in applications, particularly in continuous data streams. This has led to the adoption of sophisticated data streaming and storage infrastructures. One such solution is Redpanda, a Kafka API-compatible, Zookeeper-free, JVM-free streaming data platform, which, when integrated with Delta Lake, enhances compliance capabilities by managing malformed data, auditing, and purging relevant data. A practical application of this integration is demonstrated through an eCommerce app that streams clickstream user data, using Redpanda for data streaming and Delta Lake for structured storage and compliance tracking. The setup involves using tools like Apache Spark for data processing, with the entire process detailed in a GitHub repository, offering a scalable and compliant framework for various industries beyond eCommerce, such as financial services and industrial automation.