How do I create a schema/table in Redshift cluster from inside a Glue script?

I have established a Redshift connection in AWS Glue already. My project would require me to create tables and schemas dynamically on the fly using the Glue script. Supposing that I have already got the field names to populate to column names in the table, how do I go about that?

I tried below script in Jupyter Notebook platform of Glue.

%idle_timeout 2880
%glue_version 4.0
%worker_type G.1X
%number_of_workers 5
%connections redshift

import sys, boto3
from awsglue.transforms import *
from pyspark.context import SparkContext
from awsglue.context import GlueContext
  
sc = SparkContext.getOrCreate()
glueContext = GlueContext(sc)
spark = glueContext.spark_session

redshift_connection = boto3.client('redshift')

spark.sql('CREATE TABLE IF NOT EXISTS public.test (id int)')

The last command gives below error.

AnalysisException: org.apache.hadoop.hive.ql.metadata.HiveException: com.amazonaws.SdkClientException: Unable to execute HTTP request: Connect to glue.ap-south-1.amazonaws.com:443 [glue.ap-south-1.amazonaws.com/43.204.239.230, glue.ap-south-1.amazonaws.com/13.234.208.37, glue.ap-south-1.amazonaws.com/13.232.151.228] failed: connect timed out

What do I do to achieve the goal? Assist me with the approaches. Thanks in advance.