### Description

Airflow provides the Amazon DynamoDB to Amazon S3 below.  
https://airflow.apache.org/docs/apache-airflow-providers-amazon/stable/operators/transfer/dynamodb_to_s3.html

Most of Data Engineer build their "export DDB data to s3" pipeline using "within the point in time recovery window".   
https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/dynamodb.html#DynamoDB.Client.export_table_to_point_in_time

I appreciate if airflow has this function as a native function.  

### Use case/motivation

My daily batch job exports its data with pitr option. All of tasks is written by apache-airflow-providers-amazon except "export_table_to_point_in_time" task. 
"export_table_to_point_in_time" task only used the python operator. I expect I can unify the task as apache-airflow-providers-amazon library. 

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

s3_bucket_name=bucket_name,
        
        file_size=20,
    )
    
    
    
    backup_db_segment_1 = DynamoDBToS3Operator(
        task_id="backup_db_segment_1",
        dynamodb_table_name=table_name,
        s3_bucket_name=bucket_name,
        
        file_size=1000,
        s3_key_prefix=f"{S3_KEY_PREFIX}-1-",
        dynamodb_scan_kwargs={
            "TotalSegments": 2,
            "Segment": 0,
        },
    )
    backup_db_segment_2 = DynamoDBToS3Operator(
        task_id="backup_db_segment_2",
        dynamodb_table_name=table_name,
        s3_bucket_name=bucket_name,
        
        file_size=1000,
        s3_key_prefix=f"{S3_KEY_PREFIX}-2-",
        dynamodb_scan_kwargs={
            "TotalSegments": 2,
            "Segment": 1,
        },