### Apache Airflow version

2.2.0 (latest released)

### Operating System

Debian

### Versions of Apache Airflow Providers

_No response_

### Deployment

Other Docker-based deployment

### Deployment details

_No response_

### What happened

I've upgraded to Airflow 2.2.0 and added a new operator to the existing DAG:

```
delay_sensor = TimeDeltaSensorAsync(task_id="wait", delta=timedelta(hours=24))
```

I've started getting an error:

```
[2021-10-21, 20:01:17 UTC] {taskinstance.py:1686} ERROR - Task failed with exception
Traceback (most recent call last):
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1324, in _run_raw_task
    self._execute_task_with_callbacks(context)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1443, in _execute_task_with_callbacks
    result = self._execute_task(context, self.task)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1499, in _execute_task
    result = execute_callable(context=context)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/sensors/time_delta.py", line 54, in execute
    target_dttm += self.delta
TypeError: unsupported operand type(s) for +=: 'NoneType' and 'datetime.timedelta'
[2021-10-21, 20:01:17 UTC] {taskinstance.py:1270} INFO - Marking task as UP_FOR_RETRY. dag_id=integration-ups-mpos-2215, task_id=wait, execution_date=20211020T070000, start_date=20211021T200117, end_date=20211021T200117
[2021-10-21, 20:01:17 UTC] {standard_task_runner.py:88} ERROR - Failed to execute job 1458 for task wait
Traceback (most recent call last):
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/task/task_runner/standard_task_runner.py", line 85, in _start_by_fork
    args.func(args, dag=self.dag)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/cli/cli_parser.py", line 48, in command
    return func(*args, **kwargs)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/utils/cli.py", line 92, in wrapper
    return f(*args, **kwargs)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/cli/commands/task_command.py", line 292, in task_run
    _run_task_by_selected_method(args, dag, ti)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/cli/commands/task_command.py", line 107, in _run_task_by_selected_method
    _run_raw_task(args, ti)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/cli/commands/task_command.py", line 180, in _run_raw_task
    ti._run_raw_task(
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/utils/session.py", line 70, in wrapper
    return func(*args, session=session, **kwargs)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1324, in _run_raw_task
    self._execute_task_with_callbacks(context)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1443, in _execute_task_with_callbacks
    result = self._execute_task(context, self.task)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 1499, in _execute_task
    result = execute_callable(context=context)
  File "/home/airflow/.local/lib/python3.8/site-packages/airflow/sensors/time_delta.py", line 54, in execute
    target_dttm += self.delta
TypeError: unsupported operand type(s) for +=: 'NoneType' and 'datetime.timedelta'
```

It looks like 2 new fields that were introduced in "dag_run" table:

* data_interval_start
* data_interval_end

I see that these fields are populated correctly for new DAG-s but for the old DAG-s the data is not back-filled.

![image](https://user-images.githubusercontent.com/131281/138353823-aaede2dc-47fd-4caf-a519-ff758ead8943.png)


### What you expected to happen

The `TimeDeltaSensorAsync` sensor should work correctly even in older DAG-s.

### How to reproduce

_No response_

### 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)

airflow/models/taskinstance.py
:type run_id: datetime
        :param mark_success: Whether to mark the task as successful
        :type mark_success: bool
        :param ignore_all_deps: Ignore all ignorable dependencies.
            Overrides the other ignore_* parameters.
        :type ignore_all_deps: bool
        :param ignore_depends_on_past: Ignore depends_on_past parameter of DAGs
            (e.g. for Backfills)
        :type ignore_depends_on_past: bool
        :param ignore_task_deps: Ignore task-specific dependencies such as depends_on_past
            and trigger rule
        :type ignore_task_deps: bool
        :param ignore_ti_state: Ignore the task instance's previous failure/success
        :type ignore_ti_state: bool
        :param local: Whether to run the task locally
        :type local: bool
        :param pickle_id: If the DAG was serialized to the DB, the ID
            associated with the pickled DAG
        :type pickle_id: Optional[int]
        :param file_path: path to the file containing the DAG definition
        :type file_path: Optional[str]
        :param raw: raw mode (needs more details)
        :type raw: Optional[bool]
        :param job_id: job ID (needs more details)
        :type job_id: Optional[int]
        :param pool: the Airflow pool that the task should run in
        :type pool: Optional[str]
        :param cfg_path: the Path to the configuration file
        :type cfg_path: Optional[str]
        :return: shell command that can be used to run the task instance