Add Google Vertex AI Feature Store - Feature View Sync Operators, Sensor

[CYarros10]

This PR adds support for Google Cloud Vertex AI Feature Store synchronization operations in Apache Airflow.

Vertex AI Feature Store is a managed, cloud-native feature store service that's integral to Vertex AI. It streamlines your ML feature management and online serving processes by letting you manage your feature data in a BigQuery table or view. You can then serve features online directly from the BigQuery data source.

Components Added

1. SyncFeatureViewOperator: Triggers synchronization of a feature view, updating online serving data from the batch source
2. GetFeatureViewSyncOperator: Retrieves status and details of a feature view sync operation
3. FeatureViewSyncSensor: Monitors the progress of feature view sync operations
4. FeatureStoreHook: Core integration with the Vertex AI Feature Store API

Usage Example

    sync_task = SyncFeatureViewOperator(
        task_id="sync_task",
        project_id=PROJECT_ID,
        location=REGION,
        feature_online_store_id=FEATURE_ONLINE_STORE_ID,
        feature_view_id=FEATURE_VIEW_ID,
    )
    wait_for_sync = FeatureViewSyncSensor(
        task_id="wait_for_sync",
        location=REGION,
        feature_view_sync_name="{{ task_instance.xcom_pull(task_ids='sync_task', key='return_value')}}",
        poke_interval=60,  # Check every minute
        timeout=600,  # Timeout after 10 minutes
        mode="reschedule",
    )
    get_task = GetFeatureViewSyncOperator(
        task_id="get_task",
        location=REGION,
        feature_view_sync_name="{{ task_instance.xcom_pull(task_ids='sync_task', key='return_value')}}",
    )
    sync_task >> wait_for_sync >> get_task

[shahar1]

Nice! Got a small suggestion :-)
Could be merged IMO after resolving the above + @MaksYermak 's comments.

[MaksYermak]

LGTM