### 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
self.start_date = timezone.utcnow()
            if self.state == State.UP_FOR_RESCHEDULE:
                task_reschedule: TR = TR.query_for_task_instance(self, session=session).first()
                if task_reschedule:
                    self.start_date = task_reschedule.start_date
            
            
            
            dep_context = DepContext(
                deps=REQUEUEABLE_DEPS,
                ignore_all_deps=ignore_all_deps,
                ignore_depends_on_past=ignore_depends_on_past,
                ignore_task_deps=ignore_task_deps,
                ignore_ti_state=ignore_ti_state,
            )
            if not self.are_dependencies_met(dep_context=dep_context, session=session, verbose=True):
                self.state = State.NONE
                self.log.warning(hr_line_break)
                self.log.warning(
                    "Rescheduling due to concurrency limits reached "
                    "at task runtime. Attempt %s of "
                    "%s. State set to NONE.",
                    self.try_number,
                    self.max_tries + 1,
                )
                self.log.warning(hr_line_break)