Begin by ensuring the AWS Command Line Interface (CLI) is installed on your local machine. You can install it by following 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`, which will prompt you to enter your AWS Access Key ID, Secret Access Key, region, and output format.

Use the AWS CLI to scan your DynamoDB table and retrieve the data you want to export. You can use the `aws dynamodb scan` command, specifying the table name and any additional parameters as needed. For example:
```
aws dynamodb scan --table-name YourTableName --region your-region > output.json
```
This command will output the data into a JSON file named `output.json`.

Use a programming language like Python to parse the JSON file and extract the desired data. Python’s built-in `json` module can be used to load the JSON data. Open the JSON file and load its contents into a Python dictionary:
```python
import json

with open('output.json') as f:
data = json.load(f)
```

Iterate through the parsed JSON data to extract the relevant information that you want to include in your CSV file. Typically, this involves accessing specific attributes from each item in the DynamoDB table. For example:
```python
items = data['Items']
extracted_data = []

for item in items:
extracted_data.append({
'Attribute1': item['Attribute1']['S'],
'Attribute2': item['Attribute2']['N'],
# Add other attributes as needed
})
```

Use Python’s `csv` module to write the extracted data into a CSV file. First, define the CSV columns, then iterate over your extracted data to write each row:
```python
import csv

csv_columns = ['Attribute1', 'Attribute2']
csv_file = "output.csv"

with open(csv_file, 'w', newline='') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=csv_columns)
writer.writeheader()
for data in extracted_data:
writer.writerow(data)
```

Open the generated CSV file to verify that the data has been correctly exported. Check for correct formatting and ensure all necessary data has been included. You can use any text editor, spreadsheet software, or command-line tools like `cat` to view the CSV file.

After verifying the CSV file, delete any temporary files such as the JSON output from step 2 if they are no longer needed. Ensure that sensitive data such as AWS credentials are secured and not hard-coded in any scripts. Consider removing AWS credentials from your system when not in use by running `aws configure` again and leaving the fields empty.