Xml Data Pipeline - suggestions needed

Greetings,
Trying to get a toy project done in both go and elixir for fun. Would love to hear suggestions , libs to use and strategies to make it done quicker and faster.

• ingest about 1000 xml files containing Articles (about 2 million of them ) with slight schema differences every day,

  • size varies from 20 mb to 8 GB
  • schema varies slightly / different node / element /attributes names

  Using Saxy.Handler and file.stream! above tasks have been completed.

• for every article in xml file.

  • do processing
  • check if it exists in database, insert / update articles in database
  • create an xml file for changed / new articles each day for backup

  should this be a job queue ? GenStage, Flow ?

• Requirements

  • telemetry

    • ( new / updated articles every day)
    • time taken
    • any error notification
    • dashboard

  • back pressure

    • should not slow down / overwhelm databases

  • optimizations.

    • take articles in a chunk of 500, do a single DB query to check if they exists in database.
    • batch updates/ inserts etc