ADF Adds Hierarchical & JSON Data Transformations to Mapping Data Flows

I am looking to transform json blob data to relational format using ADF as follows :
what is the way to do in ADF?
"reseller": {

                "en-ca": [

                    {

                        "MarketPlaceResellerId": "1",

                        "ResellerPrice": "",

                        "ResellerFormattedPrice": "",

                        "InventoryStatus": 3

                    }

                ],

                "en-us": [

                    {

                        "MarketPlaceResellerId": "2",

                        "ResellerPrice": "",

                        "ResellerFormattedPrice": "",

                        "InventoryStatus": 4

                    }

                ],

                "fr-ca": [

                    {

                        "MarketPlaceResellerId": "1",

                        "ResellerPrice": "",

                        "ResellerFormattedPrice": "",

                        "InventoryStatus": 3

                    }

Output :

                             

Hi Mark, I have nested JSON File which contains data in array format also. While mapping I am getting error JSON Path inavalid at $[ResourceManagementProcess\\'sRunId]  due to escape character. I am using copy activity. Is there any other way to convert JSON to CSV format as data flow is not option to choose.

{
    "id": "ed0e4960-d9c5-11e6-85dc-d7996816aad3",
    "context": {
        "device": {
            "type": "PC"
        },
        "custom": {
            "dimensions": [
                {
                    "TargetResourceType": "Microsoft.Compute/virtualMachines"
                },
                {
                    "ResourceManagementProcess'sRunId": "827f8aaa-ab72-437c-ba48-d8917a7336a3"
                },
                {
                    "OccurrenceTime": "1/13/2017 11:24:37 AM"
                }
            ]
        }
    }
}

In the Copy Activity, you can map these structures to targeted column names in your CSV flat file in the Sink mapping.

In Data Flows, you will create a Derived Column and build a flat structure of columns that map to the different structures.

Data Flows are enhancing the H2R capabilities in the tool, but for now, this is the mechanism to use.

Can you help us transform the following sample JSON to csv using ADF and/or Data Flows. 
{
"latest": "2019-10-10T11:09:09+00:00",
"employees": {
"5487": {
"id": "5487",
"action": "Updated",
"lastChanged": "2019-10-10T11:08:53+00:00"
},
"5491": {
"id": "5491",
"action": "Updated",
"lastChanged": "2019-10-10T11:09:01+00:00"
},
"5525": {
"id": "5525",
"action": "Updated",
"lastChanged": "2019-10-10T11:09:09+00:00"
}
}
}

Super handy feature to avoid doing extra steps to deal with this kind of situations!! Thanks for adding this one.