when using S3fs with localstack error is thrown about keys

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using enable_local_endpoints()

the following error is thrown when uploading to s3 with pandas and S3FS

```
024-03-06 11:28:48.862 | ERROR | tests.integration.test_pipelines:test_analytics:124 - An error has been caught in function 'test_analytics', process 'MainProcess' (9286), thread 'MainThread' (7997807680):
Traceback (most recent call last):

File "/Users/johnharrison/git/database_flattening/venv/lib/python3.10/site-packages/s3fs/core.py", line 113, in _error_wrapper
return await func(*args, **kwargs)
│ │ └ {'Key': 'main/monitoring/analytics/mongo_query_date=2024-03-05 00:00:00/2024-03-05 00:00:00.csv', 'Bucket': 'ds-spectrum-tabl...
│ └ ()
└ ._api_call of >
File "/Users/johnharrison/git/database_flattening/venv/lib/python3.10/site-packages/aiobotocore/client.py", line 408, in _make_api_call
raise error_class(parsed_response, operation_name)
│ │ └ 'PutObject'
│ └ {'Error': {'Code': 'InvalidAccessKeyId', 'Message': 'The AWS Access Key Id you provided does not exist in our records.', 'AWS...
└

botocore.exceptions.ClientError: An error occurred (InvalidAccessKeyId) when calling the PutObject operation: The AWS Access Key Id you provided does not exist in our records.

The above exception was the direct cause of the following exception:

```

sample code to test this

```
isna__sum.to_csv( f's3://tables/main/monitoring/analytics/{start_date}.csv')
```

error seems to be coming from **aiobotocore**

Beginne damit, den gemeldeten pandas-to_csv-Upload nach dem Aufruf von enable_local_endpoints() zu reproduzieren, wobei das LocalStack-S3-Setup und der aiobotocore-Traceback InvalidAccessKeyId als Ausgangspunkt dienen. Es werden keine Projektdateien oder Tests genannt; abgeschlossen ist die Aufgabe, wenn der Upload gegen LocalStack ohne den Anmeldedatenfehler erfolgreich ist.

Vom Indexierungsmodell aus dem Issue-Text verfasst.