### Official Helm Chart version

1.2.0

### Apache Airflow version

2.1.4

### Kubernetes Version

v1.21.6+bb8d50a

### Helm Chart configuration

I defined a new Connection String for AIRFLOW_CONN_SPARK_DEFAULT in values.yaml like the following section (base64 encoded or with correct string (spark://k8s://100.68.0.1:443?deploy-mode=cluster):

```
extraSecrets:
  '{{ .Release.Name }}-airflow-connections':
     data: |
       AIRFLOW_CONN_SPARK_DEFAULT: 'c3Bhcms6Ly9rOHM6Ly8xMDAuNjguMC4xOjQ0Mz9kZXBsb3ktbW9kZT1jbHVzdGVy'
```

in Section extraEnvFrom i defined the following:

```
extraEnvFrom: |
   - secretRef:
       name: '{{ .Release.Name }}-airflow-connections'
```

### Docker Image customisations

added apache-airflow-providers-apache-spark to base Image

### What happened

Airflow Connection mapped wrong because of the k8s:// within the url.  if i ask for the connection with cmd "airflow connections get spark_default" then host=k8s and schema=/100.60.0.1:443 which is wrong

### What you expected to happen

the spark Connection based on k8s (spark://k8s://100.68.0.1:443?deploy-mode=cluster) should be parsed correctly

### How to reproduce

define in values.yaml

```
extraSecrets:
  '{{ .Release.Name }}-airflow-connections':
     data: |
       AIRFLOW_CONN_SPARK_DEFAULT: 'c3Bhcms6Ly9rOHM6Ly8xMDAuNjguMC4xOjQ0Mz9kZXBsb3ktbW9kZT1jbHVzdGVy'

extraEnvFrom: |
   - secretRef:
       name: '{{ .Release.Name }}-airflow-connections'
```


### Anything else

_No response_

### Are you willing to submit PR?

- [ ] 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)

"""
        Get connection by conn_id.
        :param conn_id: connection id
        :return: connection
        """
        for secrets_backend in ensure_secrets_loaded():
            try:
                conn = secrets_backend.get_connection(conn_id=conn_id)
                if conn:
                    return conn
            except Exception:
                log.exception(
                    "Unable to retrieve connection from secrets backend (%s). "
                    "Checking subsequent secrets backend.",
                    type(secrets_backend).__name__,
                )
        raise AirflowNotFoundException(f"The conn_id `{conn_id}` isn't defined")
    @classmethod
    def from_json(cls, value, conn_id=None) -> Connection: