First, ensure that you have the AWS SDK set up in your development environment. You can use the Python SDK (Boto3) or any other language SDK supported by AWS. Install the SDK and configure your AWS credentials to authenticate requests to DynamoDB.

Obtain your Chargebee API key from the Chargebee dashboard. This key will allow you to authenticate and make requests to the Chargebee API to retrieve your data. Familiarize yourself with Chargebee's API documentation to understand endpoints and data structures.

Write a script using your preferred programming language to call Chargebee's API endpoints. You will need to loop through the paginated API responses to collect the complete dataset. For example, to get a list of customers, you can use the `GET /customers` endpoint.

Once you have retrieved the data from Chargebee, you need to transform it into a format compatible with DynamoDB. DynamoDB uses a key-value store model, so ensure that your data is structured accordingly. Map Chargebee data fields to the corresponding DynamoDB attributes.

In the AWS Management Console, create a DynamoDB table if you haven't already. Define the primary key structure, which typically consists of a partition key and optionally a sort key. Ensure your data transformation is aligned with this schema.

Use the AWS SDK to write the transformed data to DynamoDB. This can be done using batch write operations to handle multiple records at once. Be mindful of DynamoDB's write capacity units to avoid throttling. Implement error handling to manage any failed write operations.

After the data transfer is complete, verify the integrity of the data in DynamoDB. Compare a sample of records between Chargebee and DynamoDB to ensure accuracy. You can write a script to fetch and compare a few entries or inspect them manually via the AWS Management Console.