Modifying CSV Headers in Pyspark

Trying to modify  CSV headers in Pyspark in order to get rid of blank space and extra characters from CSV columns.
For example , attribute "Loan Account" need to be renamed to "LoanAccount" and  "Late Payment Fee(ACC)" renamed to "LatePaymentFeeACC".

Need assistance to rename csv headers and convert into a dataframe .I have tried to rename attributes by using StructType . Kindly advise
if this can be resolved in different ways (in python) without using Pandas dataframe .

Below is my code snippet throwing Null values for all attributes from CSV file (Attached).

--DataType from account_Data.csv
df.printSchema()
ID: string (nullable = true)
Created: string (nullable = true)
Modified: string (nullable = true)
CaseId: string (nullable = true)
Loan Account: string (nullable = true)
Follow-up Date: string (nullable = true)
Late Payment Fee(ACC): string (nullable = true)

***************************************************************************************************
from datetime import *
from pyspark.sql.functions import col
from pyspark.sql import SparkSession
from pyspark.sql.types import StructType, StructField, FloatType, StringType
import os, datetime

sourceFile='hdfs://nameservice1/data/test/dev01/pk/data/account_Data.csv"----In HDFS

class CSVData_Load:

schema = StructType([
      StructField("ID",StringType(),True),
      StructField("Created",StringType(),True),
      StructField("Modified",StringType(),True),
      StructField("CaseId",StringType(),True),
      StructField("LoanAccount",StringType(),True), # Header Loan Account renamed to LoanAccount
        StructField("FollowupDate",StringType(),True), # Header Follow-up Date renamed to FollowupDate
        StructField("LatePaymentFeeACC",StringType(),True)]) # Header Late Payment Fee(ACC) renamed to LatePaymentFeeACC

        
        if __name__ == "__main__":
    try:
       df=spark.read.option("delimiter", ",").option("quote", "\"").option("escape", "\"").option("header", "true").option("inferSchema", "true").csv(sourceFile, schema=schema)
       df.show(2,False)---->Resulting All Null
***************************************************************************************************

Would appreciate your help to get the headers  modified and readable in Pyspark dataframe without using Pandas utility .  account_data.csv