Recently we came across a great csv helper Nuget package libararry from Josh Close. You could easily find it in the Nuget solution search. I would highly recommend it. Its an incredible option to read CSV and Write to a CSV file as well.I have used it for both of these scenarios and the reading / writing was very easy. Works very well with Azure Functions, Web jobs etc. Simple examples can be found on the below links.
https://joshclose.github.io/CsvHelper/getting-started#reading-a-csv-file
https://joshclose.github.io/CsvHelper/getting-started#writing-a-csv-file
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)
https://joshclose.github.io/CsvHelper/getting-started#reading-a-csv-file
https://joshclose.github.io/CsvHelper/getting-started#writing-a-csv-file
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