Debezium is a powerful open-source platform for change data capture that monitors database transaction logs and produces change event streams, indicating inserts, updates, and deletes. It can be used in conjunction with Python to build a robust and scalable CDC solution. The pydbzengine library provides a convenient way to interact with the Debezium embedded engine, simplifying the process of configuring and running Debezium within a Python application. The dlt pipeline is another tool that can be used to load data from Debezium into a destination such as DuckDB. This example demonstrates how to use Debezium and pydbzengine to build a CDC pipeline in Python, capturing change data from a PostgreSQL database and loading it into a DuckDB database using the Data Load Tool (dlt). The code includes explanations of the key components involved, including Debezium, pydbzengine, dlt, DuckDB, and Testcontainers. It also provides a testable example that can be used to experiment with different configurations and workflows. Overall, this project is designed to provide a simple and efficient way to capture change data from databases and load it into data warehouses using Python.