TABLE_OR_VIEW_NOT_FOUND with sqlalchemy connection #465

>>> engine
Engine(databricks://token:***@mycompany-test.cloud.databricks.com:443/my-catalog)

>>> import sqlalchemy as sa
>>> RunHeader = sa.Table(
...     'run_header_v1',
...     sa.MetaData(),
...     schema='test',
...     autoload_with=engine,
... )
>>> RunHeader
Table('run_header_v1', MetaData(), Column('run_id', String(), table=<run_header_v1>, nullable=False), Column('start_time', TIMESTAMP(), table=<run_header_v1>, nullable=False), Column('end_time', TIMESTAMP(), table=<run_header_v1>, nullable=False), Column('run_type', String(), table=<run_header_v1>, nullable=False), Column('status', String(), table=<run_header_v1>, nullable=False), schema='test')

>>> with engine.connect() as conn:
...     res = conn.execute(
...         sa.select(sa.func.count())
...         .select_from(RunHeader)
...     ).scalar_one()
... 
Traceback (most recent call last):
<snip>
ServerOperationError: [TABLE_OR_VIEW_NOT_FOUND] The table or view `test`.`run_header_v1` cannot be found. Verify the spelling and correctness of the schema and catalog.
If you did not qualify the name with a schema, verify the current_schema() output, or qualify the name with the correct schema and catalog.
To tolerate the error on drop use DROP VIEW IF EXISTS or DROP TABLE IF EXISTS. SQLSTATE: 42P01; line 2 pos 5

>>> with engine.connect() as conn:
...     res = conn.execute(sa.text("SELECT count(*) FROM test.run_header_v1")).scalar_one()
... 
<snip>
DatabaseError: (databricks.sql.exc.ServerOperationError) [TABLE_OR_VIEW_NOT_FOUND] ...