### Is there an existing issue for this?

- [X] I have searched the existing issues

### Current Behavior

I am receiving a ResourceNotFoundException when attempting to run a BatchGetItem operation on a table that exists.  Downgrading to `0.14.2` fixes the issue and I was not receiving this issue on Friday when running the `latest` container.  I am able to run `scan` and `query` requests successfully on these tables.

### Expected Behavior

BatchGetItem should work on tables that exist

### How are you starting LocalStack?

With a `docker run` command

### Steps To Reproduce

#### How are you starting localstack (e.g., `bin/localstack` command, arguments, or `docker-compose.yml`)

    docker run localstack/localstack

#### Client commands (e.g., AWS SDK code snippet, or sequence of "awslocal" commands)

- `awslocal dynamodb create-table --table-name test-table --attribute-definitions AttributeName=PK,AttributeType=S --key-schema AttributeName=PK,KeyType=HASH --provisioned-throughput ReadCapacityUnits=1,WriteCapacityUnits=1`
- `awslocal dynamodb list-tables`
```
{
    "TableNames": [
        "test-table"
    ]
}
```
- `awslocal dynamodb batch-get-item --request-items '{ "test-table": { "Keys": [{ "PK": {"S": "test-key"} }] } }'`
```
An error occurred (ResourceNotFoundException) when calling the BatchGetItem operation: Cannot do operations on a non-existent table
```

### Environment

```markdown
- OS: 
- LocalStack: latest
```


### Anything else?

_No response_
dynamodbstreams_api.forward_events(records)
    @staticmethod
    def forward_to_kinesis_stream(records):
        kinesis = aws_stack.connect_to_service("kinesis")
        table_definitions = DynamoDBRegion.get().table_definitions
        for record in records:
            event_source_arn = record.get("eventSourceARN")
            if not event_source_arn:
                continue
            table_name = event_source_arn.split("/", 1)[-1]
            table_def = table_definitions.get(table_name) or {}
            if table_def.get("KinesisDataStreamDestinationStatus") != "ACTIVE":
                continue
            stream_arn = table_def["KinesisDataStreamDestinations"][-1]["StreamArn"]
            stream_name = stream_arn.split("/", 1)[-1]
            record["tableName"] = table_name
            record.pop("eventSourceARN", None)
            record["dynamodb"].pop("StreamViewType", None)
            hash_keys = list(filter(lambda key: key["KeyType"] == "HASH", table_def["KeySchema"]))
            partition_key = hash_keys[0]["AttributeName"]
            kinesis.put_record(
                StreamName=stream_name,
                Data=json.dumps(record),
                PartitionKey=partition_key,
            )
    @classmethod
    def prepare_records_to_forward_to_ddb_stream(cls, records):