Reading timestamp with type INT64 in parquet file

I am using AWS EMR 5.28.0 which has Presto 0.227 (Somehow, it works in AWS Athena.) I have an AWS DMS job that migrates the AWS RDS data to S3. While migrating it also converts to Parquet. When setting target endpoint in S3, I have tried all combinations of parameters parquetTimestampInMillisecond and parquetVersion, but none works.

Ideally, when I set AWS parquetTimestampInMillisecond to true, I should be able to read any timestamp column from Presto. But, I get the following error: The column columnName is declared as type timestamp, but the Parquet file declares the column as type INT64

Using parquet-tools, I see following output for the timestamp column in my parquet file in S3: columnName: INT64 UNCOMPRESSED DO:0 FPO:99321 SZ:24381/24381/1.00 VC:3041 ENC:PLAIN,RLE ST:[min: 2019-11-26T04:21:44.403, max: 2019-11-26T04:22:45.932, num_nulls: 0] When I use following definition to create table, it works

CREATE TABLE hive.bigdata.tableName (
   columnName bigint
)
WITH (                                                                                          
    external_location = 's3://location', 
    format = 'PARQUET'                                                                           
 )

But I have to create a view to read column as timestamp,

CREATE VIEW hive.bigdata.tableName2 AS SELECT
cast(date_format(from_unixtime(columnName/1000), '%Y-%m-%d %h:%i:%s') as timestamp) as columnName
FROM hive.bigdata.tableName

Is there any direct way to create a table from the INT64 column? or any way to tell AWS DMS to transfer in supported data type.