### 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)

)
    
    delete_table = delete_dynamodb_table(table_name=table_name)
    delete_bucket = S3DeleteBucketOperator(
        task_id="delete_bucket",
        bucket_name=bucket_name,
        trigger_rule=TriggerRule.ALL_DONE,
        force_delete=True,
    )
    chain(
        
        test_context,
        create_table,
        create_bucket,
        wait_for_bucket(s3_bucket_name=bucket_name),
        
        backup_db,
        backup_db_segment_1,
        backup_db_segment_2,
        
        delete_table,
        delete_bucket,
    )
    from tests.system.utils.watcher import watcher
    
    
    list(dag.tasks) >> watcher()
from tests.system.utils import get_test_run  
test_run = get_test_run(dag)