Begin by accessing NetSuite's SuiteTalk Web Services API. You'll need to set up a NetSuite account with sufficient permissions to extract data. Create an integration in NetSuite, obtaining the necessary account ID, consumer key, consumer secret, token ID, and token secret. Ensure that the appropriate roles are assigned to the user involved in this process to access the needed data.

Write a script to extract data from NetSuite using the SuiteTalk API. You can use a programming language like Python with libraries such as `zeep` (a SOAP client) to make API requests. Ensure your script handles authentication using the tokens and keys obtained in the previous step. Define the fields and data types you want to extract by setting up search queries or specific API calls relevant to your data needs.

Execute the script to connect to NetSuite and perform data extraction. Use the SuiteTalk API to retrieve records such as Customers, Transactions, or any other object you need. Make sure your script can handle pagination if the data is large, as NetSuite might limit the number of records returned in a single API call.

Transform the extracted data into a format compatible with DynamoDB. DynamoDB accepts JSON documents, so you might need to convert your data into JSON format. Ensure each record includes a primary key (partition key and optionally a sort key) as required by DynamoDB table design. Validate that the data types (strings, numbers, etc.) are compatible with DynamoDB's storage requirements.

Set up an AWS account if you haven't already. Create a DynamoDB table with the necessary structure, defining primary keys and setting up any required indexes. Ensure you have AWS IAM credentials with permissions to access DynamoDB, and configure your local environment or application to use these credentials securely.

Develop a script or use the AWS SDK (such as boto3 for Python) to write data into DynamoDB. Use batch writing operations to optimize the process and handle large datasets efficiently. Make sure to handle any potential errors, such as exceeding write capacity, by implementing retries with backoff strategies.

Once the data is written to DynamoDB, verify the integrity and completeness of the migration. Compare samples of the data in both NetSuite and DynamoDB to ensure accuracy. Set up monitoring and logging to track the performance and reliability of the data transfer process. Use AWS CloudWatch or custom scripts to monitor DynamoDB's read/write capacity usage and error rates to ensure the system operates smoothly.