AWS DMS - Migration fails when column in column filter is in camel case

We are trying to migrate data from AWS Aurora Postgres (v13.4) to another AWS Aurora Postgres database (Serverless v2) but the data migration fails for tables wherein we add a column filter. Our table names and column names are in the upper camel case. I checked the logs it shows the following error:

2022-04-27T09:31:12 [TRANSFORMATION  ]E:  Failed to init filter for column CompanyId [20014]  (manipulator.c:605)
2022-04-27T09:31:12 [TRANSFORMATION  ]W:  The metadata transformations defined for table 'public.Tenants' were not performed as at least one of the transformation expressions contains an error  (manipulator.c:147)

Here is the mapping rule:

{
    "rules": [
        {
            "rule-type": "selection",
            "rule-id": "046273916",
            "rule-name": "046273916",
            "object-locator": {
                "schema-name": "public",
                "table-name": "Tenants"
            },
            "rule-action": "include",
            "filters": [
                {
                    "filter-type": "source",
                    "column-name": "CompanyId",
                    "filter-conditions": [
                        {
                            "filter-operator": "eq",
                            "value": "xxxxxx"
                        }
                    ]
                }
            ]
        },
        {
            "rule-type": "selection",
            "rule-id": "042087387",
            "rule-name": "042087387",
            "object-locator": {
                "schema-name": "public",
                "table-name": "Plans"
            },
            "rule-action": "include",
            "filters": []
        }
    ]
}