### Apache Airflow Provider(s)

cncf-kubernetes

### Versions of Apache Airflow Providers

apache-airflow-providers-cncf-kubernetes==5.2.1

### Apache Airflow version

2.5.1

### Operating System

Arch Linux

### Deployment

Other

### Deployment details

_No response_

### What happened

Not really showing a failure in operation, but the code in the [`KubernetesPodOperator._render_nested_template_fields`](https://github.com/apache/airflow/blob/d26dc223915c50ff58252a709bb7b33f5417dfce/airflow/providers/cncf/kubernetes/operators/kubernetes_pod.py#L373-L403) function could be improved.

The current code is formed by 6 conditionals checking the type of the `content` variable. Even when the 1st of the succeed, the other 5 conditionals are still checked, which is inefficient because the function could end right there, saving time and resources.


### What you think should happen instead

The conditionals flow could be fixed with a simple map, using a dictionary to immediately get the value or fallback to the default one.

### How to reproduce

There is no bug _per se_ to reproduce. It's just making the code cleaner and more efficient, avoiding to keep computing conditionals even when the condition has been resolved.

### Anything else

_No response_

### Are you willing to submit 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)

"""Converts passed config_file to dict format."""
        config_file = self.config_file if self.config_file else os.environ.get(KUBE_CONFIG_ENV_VAR)
        if config_file:
            with open(config_file) as f:
                self._config_dict = yaml.safe_load(f)
        else:
            self._config_dict = None
    def invoke_defer_method(self):
        """Method to easily redefine triggers which are being used in child classes."""
        trigger_start_time = utcnow()
        self.defer(
            trigger=KubernetesPodTrigger(
                pod_name=self.pod.metadata.name,
                pod_namespace=self.pod.metadata.namespace,
                trigger_start_time=trigger_start_time,
                kubernetes_conn_id=self.kubernetes_conn_id,
                cluster_context=self.cluster_context,
                config_dict=self._config_dict,
                in_cluster=self.in_cluster,
                poll_interval=self.poll_interval,
                should_delete_pod=self.is_delete_operator_pod,
                get_logs=self.get_logs,
                startup_timeout=self.startup_timeout_seconds,
                base_container_name=self.base_container_name,
            ),
            method_name="execute_complete",
        )
    def execute_complete(self, context: Context, event: dict, **kwargs):