Begin by understanding the data types and structures you have in your Zapier-supported storage and how they map to Amazon DynamoDB. This involves identifying the fields in your source data and determining the corresponding data types and attributes in DynamoDB. You should also consider the primary keys and any other unique identifiers required by DynamoDB.

Export your data from the Zapier-supported storage into a format that can be easily manipulated, such as CSV or JSON. This might involve using Zapier's built-in export functions (if available) or manually downloading the data from the storage platform. Ensure that the exported data includes all necessary fields and is in a clean, structured format.

Install the AWS Command Line Interface (CLI) on your system if it is not already installed. Configure it with your AWS credentials by running `aws configure` and providing your AWS Access Key ID, Secret Access Key, region, and output format. This setup is essential for interacting with DynamoDB and other AWS services from your local machine.

Use the AWS Management Console or AWS CLI to create a new DynamoDB table. Define the primary key (partition key and optionally a sort key) based on your data requirements. Specify the attribute types (e.g., string, number) for the key attributes. Ensure the table is configured with sufficient read/write capacity or set it to on-demand mode for automatic scaling.

Transform your exported data into a format compatible with DynamoDB, typically JSON. Each item in the JSON file should represent a row in your DynamoDB table, with key-value pairs matching the table's schema. Use scripting languages like Python or Node.js to automate this transformation, ensuring that data types are correctly converted to DynamoDB's format.

Use the AWS CLI, AWS SDKs, or a custom script to import your prepared JSON data into DynamoDB. For example, you can use the `aws dynamodb put-item` or `aws dynamodb batch-write-item` commands for single or batch data uploads, respectively. Ensure that you handle potential errors and retries in your script to manage any write failures.

After the import operation, verify that all data has been successfully transferred to DynamoDB. Use the AWS Management Console or CLI to query the DynamoDB table and check that the data matches your expected schema and values. It may be helpful to perform random spot checks or write automated scripts to ensure comprehensive data validation.