Oracle to Spark SQL. Failure to unnest queries during optimisation

[yesemsanthoshkumar]

Followup from slack message
https://tobiko-data.slack.com/archives/C0448SFS3PF/p1715277495692029?thread_ts=1715277495.692029&cid=C0448SFS3PF

Fully reproducible code snippet

from sqlglot import parse_one
from sqlglot.optimizer import optimize

query = """
select
 pt.c2,
 t2.person_id AS person_id,
 (
  SELECT
  MAX(t3.full_name) AS _col_0
  FROM
    db.third_table AS t3
  WHERE
    t3.person_id = t2.person_id
    AND t3.effective_start_date <= TRUNC(t2.creation_date)
    AND t3.effective_end_date >= TRUNC(t2.creation_date)
  ) AS person_full_name
from
 parent_table as pt,
 second_table as t2
where
 pt.c1 = 'something'
 and pt.second_col_id = t2.second_col_id
"""

tree = parse_one(query, dialect="oracle")
optimize(tree)
print(tree.sql("spark", pretty=True))

Python version: 3.11.2
SQLGlot version: 23.14.0

Expected output
Nested query to be moved to a CTE and referenced to the parent select under a join clause.

The flow goes through when the inner query has a single filter in the where clause. But fails with more than one.