Begin by installing and configuring the AWS Command Line Interface (CLI) on your local machine. This tool allows you to interact with AWS services directly from your terminal. You can install it by following the instructions on the [AWS CLI installation page](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html). After installation, configure it with your AWS credentials using the command `aws configure`, where you"ll input your AWS Access Key ID, Secret Access Key, region, and output format.

Log into your AWS Management Console and navigate to the S3 service. Create a new bucket to store your Coin API data. Ensure that you choose an appropriate region and set any necessary permissions or policies, such as making the bucket private or configuring it to allow access from specific IAM roles.

Develop a Python script that sends HTTP requests to the Coin API to fetch the required data. Use libraries like `requests` to make GET requests to the endpoint. Ensure you handle authentication by including your Coin API key in the request headers. Here"s a simple example to get you started:
```python
import requests

url = "https://rest.coinapi.io/v1/exchangerate/BTC/USD"
headers = {'X-CoinAPI-Key': 'YOUR_COIN_API_KEY'}

response = requests.get(url, headers=headers)
data = response.json()
```

Once you have fetched the data, process it if necessary. This could involve transforming the JSON response into a CSV or JSON file format, depending on your needs. Use Python libraries like `pandas` for data manipulation and `json` or `csv` to write data to a file:
```python
import json

with open('coin_data.json', 'w') as f:
json.dump(data, f)
```

Utilize the Boto3 library, AWS's SDK for Python, to upload your processed file to the S3 bucket. First, install Boto3 using pip (`pip install boto3`), then use the following code snippet:
```python
import boto3

s3 = boto3.client('s3')
with open('coin_data.json', 'rb') as f:
s3.upload_fileobj(f, 'your-bucket-name', 'path/in/s3/coin_data.json')
```

To automate data transfers at regular intervals, set up a cron job on your local machine or server. This involves editing your crontab file by running `crontab -e` and scheduling the Python script to run at your desired frequency. For example, to run the script daily at midnight, add:
```
0 0 * * * /usr/bin/python3 /path/to/your/script.py
```

Implement logging in your script to track the success or failure of data uploads. Use Python"s built-in `logging` module to write logs to a file. Additionally, consider setting up AWS CloudWatch to monitor your S3 bucket and receive alerts for any issues:
```python
import logging

logging.basicConfig(filename='transfer.log', level=logging.INFO)
logging.info('Data uploaded successfully at: %s', time.ctime())
```

By following these steps, you can efficiently and independently transfer data from the Coin API to Amazon S3 without relying on third-party connectors or integrations.