Converting JSON Table Array Data in Azure Data Factory from Log Analytics REST API JSON Response to Multiple JSON Documents in same file - json

Question

I'm currently trying to extract data out of Log Analytics through its REST API. I have been successful at using a Copy Data activity to store the response in an Azure Data Lake Gen 2 account.
The format is roughly similar to the example from the Log Analytics API Reference Page.
{
"tables": [
{
"name": "PrimaryResult",
"columns": [
{
"name": "Category",
"type": "string"
},
{
"name": "count_",
"type": "long"
}
],
"rows": [
[
"Administrative",
20839
],
[
"Recommendation",
122
],
[
"Alert",
64
],
[
"ServiceHealth",
11
]
]
}
] }
My dataset is much larger with more columns more values etc but the principals are the same.
What I am trying to do is generate a new JSON file that would hold the table but multiple documents in the same file e.g.
[{
"Category": "Administrative",
"count_": 20839
},
{
"Category": "Recommendation",
"count_": 122
},
{
"Category": "Alert",
"count_": 64
},
{
"Category": "ServiceHealth",
"count_": 11
}]
The output of this would be stored back into the data lake and then ideally could be used as a source for a copy activity to go into an Azure SQL Database.
I have tried accomplishing this using Data Flows Flattening but haven't been successful with this up until this point as when trying to map the column name it doesn't see individual column names just that level of the document where the column names are defined.
How would I go about flattening the dataset so it appears as desired? Is this an unrealistic expectation of Data flows or is this task more suitable for something like Azure Databricks?