Begin by signing up for an OpenWeather account if you haven’t already. Once registered, navigate to the API section to obtain your unique API key. This key will allow you to make authorized requests to the OpenWeather API to fetch weather data.

Ensure you have Python installed on your system, as well as the necessary libraries for making HTTP requests and interacting with AWS DynamoDB. Use pip to install these packages:
```bash
pip install requests boto3
```
`requests` will be used to make HTTP requests to the OpenWeather API, and `boto3` is AWS's SDK for Python, used to interact with DynamoDB.

Write a Python script to make a request to the OpenWeather API. Use the `requests` library to send a GET request to the API endpoint with your API key and desired parameters (like city name or coordinates). Parse the JSON response to extract the necessary weather data.
```python
import requests

API_KEY = 'your_openweather_api_key'
CITY = 'London'
URL = f'http://api.openweathermap.org/data/2.5/weather?q={CITY}&appid={API_KEY}'

response = requests.get(URL)
data = response.json()
# Extract data as needed, e.g., temperature, humidity, etc.
```

Configure your AWS credentials to allow your Python script to access DynamoDB. Create a new IAM user in the AWS Management Console with permissions to access DynamoDB, and download the access key and secret key. Store these credentials in a way that `boto3` can access them, either through environment variables or AWS credentials files.

Before inserting data, ensure you have a DynamoDB table set up. Use the AWS Management Console or AWS CLI to create a new table if it doesn't exist. Define the primary key schema according to the data you plan to store, such as a combination of city name and timestamp.

Use the `boto3` library to insert the fetched weather data into your DynamoDB table. Create a Python function that connects to DynamoDB and uses the `put_item` method to insert data. Ensure the data format matches the table’s schema.
```python
import boto3

dynamodb = boto3.resource('dynamodb', region_name='your-region')
table = dynamodb.Table('your-table-name')

def insert_data(data):
response = table.put_item(
Item={
'City': data['name'],
'Timestamp': data['dt'],
'Temperature': data['main']['temp'],
'Humidity': data['main']['humidity'],
# Add more fields as needed
}
)
return response

insert_data(data)
```

To automate data transfer, use a scheduling tool like `cron` on Unix-based systems or Task Scheduler on Windows to run your Python script at regular intervals. This will ensure that your DynamoDB is consistently updated with the latest weather data.

By following these steps, you can efficiently move data from OpenWeather to DynamoDB using Python, without relying on third-party connectors or integrations.