read_excel can't read datetime values

read_excel from SWAT works different that read_excel from Pandas, wich makes me unable to read Date column as a Datetime value.

SWAT: storm_damage = conn.read_excel("D:\Workshop\VIYAPY\storm.xlsx", sheet_name="Storm_Damage", casout=dict(name="STORM_DAMAGE", replace=True, caslib="Public"))
It reads Date column as Varchar

Pandas: sd = pd.read_excel("D:\Workshop\VIYAPY\storm.xlsx", sheet_name="Storm_Damage")
It reads Date column as datetime64

I've tried explicity use converters and it is not helping:

SWAT: storm_damage = conn.read_excel("D:\Workshop\VIYAPY\storm.xlsx", sheet_name="Storm_Damage",
casout=dict(name="STORM_DAMAGE", replace=True, caslib="Public"),
converters={'Date': pd.to_datetime})

Pandas: sd = pd.read_excel("D:\Workshop\VIYAPY\storm.xlsx", sheet_name="Storm_Damage", converters={'Date': pd.to_datetime})

Anything I do I see the action run is:
NOTE: 20: action table.loadTable / path='_f_c15dc565_7ff582b29b88.csv', readAhead=true, importOptions={fileType='csv', vars={Cost={type='double'}, Date={type='varchar'}, Event={type='varchar'}, Summary={type='varchar'}}, locale='EN-us'}, resident=true, promote=false, caslib='_LIB_C15DC565_7FF582B29B88', casOut={name='STORM_DAMAGE', caslib='Public', replace=true}, singlePass=false, noSource=true;

Start at the conn.read_excel entry point and inspect the logged table.loadTable action, especially the Date variable's varchar type and CSV import options. Reproduce the reported workbook and verify that the Date column is loaded as a datetime value while preserving the existing read_excel behavior for other columns.