Begin by installing and configuring the AWS Command Line Interface (CLI) on your local machine. The AWS CLI will allow you to interact with AWS services directly from the command line. To install, follow the instructions on the [AWS CLI Installation Guide](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html). Once installed, configure it with your AWS credentials using the command `aws configure`.

Log in to your AWS Management Console and navigate to the DynamoDB service. Create a new table by specifying the table name, primary key attributes (partition key and optional sort key), and any other necessary settings. Take note of the table name as it will be used in subsequent steps.

Ensure your JSON file is properly formatted and structured in a way that matches the schema of the DynamoDB table you created. Each item in your JSON should correspond to an item in the DynamoDB table. Validate your JSON syntax using tools like JSONLint to avoid errors during the data import process.

Use a script to convert your JSON file into a format that DynamoDB can understand. This involves transforming JSON objects into a list of dictionaries, where each dictionary represents an item with key-value pairs formatted according to DynamoDB's data types. You can write a Python script using the boto3 library to achieve this.

Develop a Python script utilizing the boto3 library to read the converted JSON data and batch write it to DynamoDB. Use the `batch_write_item` method to efficiently load multiple items at once, ensuring you handle the write capacity limits and retry any unprocessed items. Here's a simple script outline:

```python
import boto3
import json

# Initialize a session using AWS credentials
session = boto3.Session(profile_name='your-profile-name')
dynamodb = session.resource('dynamodb')
table = dynamodb.Table('your-table-name')

# Load and prepare your JSON data
with open('your-data-file.json') as json_file:
items = json.load(json_file)
with table.batch_writer() as batch:
for item in items:
batch.put_item(Item=item)
```

Execute your Python script from the command line. Ensure your AWS credentials and permissions are correctly set up to allow write access to the DynamoDB table. Monitor the output for any errors and verify that all items were processed successfully.

After running the script, go back to the AWS Management Console and navigate to your DynamoDB table to confirm that the data has been imported correctly. You can browse the table items, use the query functionality, or utilize the AWS CLI command `aws dynamodb scan --table-name your-table-name` to review the data.

Following these steps, you should be able to move data from a JSON file to DynamoDB without using third-party connectors or integrations.