Updated:
When I run it for a 2nd time. It will add new rows into the table.

I created a simple test and it works well. This is my csv file stored in Azure Data Lake.

Then we can use pipeline to copy this csv file into Azure SQL table(auto create these tables).
- At
GetMetaData1 activity, we can set the dataset of the folder containing csv files
And select First row as header at the dataset.

2.At ForEach1 activity we can foreach the file list via expression @activity('Get Metadata1').output.childItems.

3.Inside ForEach1 activity, we can use Copy data1 activity with the same data source as GetMetaData1 activity. At source tab, we can type in dynamic content @item().name. We can use @item().name to get the file name.

At sink tab, we should select Auto create table.
In the Azure SQL dataset, we should type in schema name and dynamic content @replace(item().name,'.csv','') as its table name. Because this information is needed to create a table dynamically.

The debug result is as follows:
