Preventing implicit spawn for because last spawn failed

I am running Jupyterhub on EKS on AWS. (chart - jupyterhub-0.8.2)
and getting this issue on a single user - it fails to start and then there is no way for me to reset and and have it try spawing again - only if i redeploy the whole jupyterhub

[E 2020-07-01 08:43:34.802 JupyterHub base:1011] Preventing implicit spawn for 88f2237947d2 because last spawn failed: Timeout
[E 2020-07-01 08:43:34.803 JupyterHub web:1792] Uncaught exception GET /jh/hub/user/88f2237947d2/ (172.19.66.70)
    HTTPServerRequest(protocol='http', host='app.lynx.md', method='GET', uri='/jh/hub/user/88f2237947d2/', version='HTTP/1.1', remote_ip='172.19.66.70')
    Traceback (most recent call last):
      File "/usr/local/lib/python3.6/dist-packages/tornado/web.py", line 1703, in _execute
        result = await result
      File "/usr/local/lib/python3.6/dist-packages/jupyterhub/handlers/base.py", line 1013, in get
        raise copy.copy(exc).with_traceback(exc.__traceback__)
      File "/usr/local/lib/python3.6/dist-packages/tornado/gen.py", line 593, in error_callback
        future.result()
      File "/usr/local/lib/python3.6/dist-packages/tornado/gen.py", line 593, in error_callback
        future.result()
      File "/usr/local/lib/python3.6/dist-packages/tornado/gen.py", line 593, in error_callback
        future.result()
      [Previous line repeated 23 more times]
      File "/usr/local/lib/python3.6/dist-packages/jupyterhub/handlers/base.py", line 636, in finish_user_spawn
        await spawn_future
      File "/usr/local/lib/python3.6/dist-packages/jupyterhub/user.py", line 489, in spawn
        raise e
      File "/usr/local/lib/python3.6/dist-packages/jupyterhub/user.py", line 409, in spawn
        url = await gen.with_timeout(timedelta(seconds=spawner.start_timeout), f)
    tornado.util.TimeoutError: Timeout

Has anyone had this issue ? is there some way i can configure this to always try to spawn ? in the helm chart for example ?

there is also an issue here : https://github.com/jupyterhub/jupyterhub/issues/1600