Streaming Data Lakehouse Integration: Moving from Kafka Topics to Cloud Data Lakes in AWS & Azure via Confluent Connectors

The emergence of the Data Lakehouse—fusing the scale of cloud object storage (AWS S3, Azure ADLS Gen2) with the transactional governance of a data warehouse—necessitates a robust mechanism for handling high-velocity event streams from Apache Kafka. This paper addresses the architectural challenge of reliably bridging Kafka topics to Lakehouse formats (Delta Lake, Apache Hudi, Apache Iceberg) while ensuring three critical constraints are met: consistency (ACID), timeliness (low latency), and sche