Begin by logging into your Recruitee account. Navigate to the section that contains the data you wish to export, such as candidate applications or job postings. Use Recruitee’s built-in export feature to download the data in a CSV or Excel format. Ensure you save this file securely on your local machine.

Set up your local environment to facilitate the data transfer. Ensure you have Python installed, as it will be used to automate the data upload. If not already installed, download and install Python from the official website. Additionally, install the AWS SDK for Python (Boto3) by running `pip install boto3` in your command line interface.

Set up your AWS credentials to allow Python to interact with your S3 bucket. Create or access your AWS IAM user account and generate new access keys if necessary. Store these credentials securely in your local environment. You can do this by configuring the AWS CLI with `aws configure`, entering your Access Key ID and Secret Access Key, and specifying your preferred region.

Log into the AWS Management Console and navigate to the S3 service. Click on "Create bucket" and follow the prompts to set up a new bucket. Choose a unique bucket name and configure the necessary settings, such as region and permissions. Ensure that your bucket is set to accept uploads.

Develop a Python script to automate the data upload process. The script should utilize the Boto3 library to upload your exported file from Recruitee to the S3 bucket. Here is a basic example of how the script might look:

```python
import boto3

def upload_to_s3(file_name, bucket, object_name=None):
s3_client = boto3.client('s3')
try:
response = s3_client.upload_file(file_name, bucket, object_name or file_name)
print(f"File {file_name} uploaded successfully to {bucket}")
except Exception as e:
print(f"Error uploading file: {e}")

if __name__ == "__main__":
file_name = 'your_exported_file.csv' # Replace with your actual file name
bucket_name = 'your-s3-bucket-name' # Replace with your actual bucket name
upload_to_s3(file_name, bucket_name)
```

Execute the Python script from your command line or terminal. Make sure the script is in the same directory as your downloaded export file, or provide the correct path to the file. Verify that the script runs without errors and uploads the file to your S3 bucket.

Finally, log back into the AWS Management Console and navigate to the S3 service. Open your bucket to confirm that the file has been uploaded successfully. Check the file's contents if necessary to ensure the integrity and accuracy of the data transfer.

By following these steps, you will have successfully moved your data from Recruitee to Amazon S3 without using any third-party connectors or integrations.