### Apache Airflow version

2.5.3

### What happened

When I call the airflow initdb function, it outputs these lines to the log

INFO  [alembic.runtime.migration] Context impl PostgresqlImpl.
INFO  [alembic.runtime.migration] Will assume transactional DDL.

### What you think should happen instead

There should be a mechanism to disable these logs, or they should just be set to WARN by default

### How to reproduce

Set up a new postgres connection and call:

from airflow.utils.db import initdb
initdb()

### Operating System

MacOS

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

session, source_table: Table, subquery: Query, uniqueness: list[str], target_table_name: str
):
    """
    When adding a uniqueness constraint we first should ensure that there are no duplicate rows.
    This function accepts a subquery that should return one record for each row with duplicates (e.g.
    a group by with having count(*) > 1).  We select from ``source_table`` getting all rows matching the
    subquery result and store in ``target_table_name``.  Then to purge the duplicates from the source table,
    we do a DELETE FROM with a join to the target table (which now contains the dupes).
    :param session: sqlalchemy session for metadata db
    :param source_table: table to purge dupes from
    :param subquery: the subquery that returns the duplicate rows
    :param uniqueness: the string list of columns used to define the uniqueness for the table. used in
        building the DELETE FROM join condition.
    :param target_table_name: name of the table in which to park the duplicate rows
    """
    bind = session.get_bind()
    dialect_name = bind.dialect.name
    query = (
        session.query(source_table)
        .with_entities(*[getattr(source_table.c, x.name).label(str(x.name)) for x in source_table.columns])
        .select_from(source_table)
        .join(subquery, and_(*[getattr(source_table.c, x) == getattr(subquery.c, x) for x in uniqueness]))
    )
    _create_table_as(
        session=session,
        dialect_name=dialect_name,
        source_query=query,