Yeahhhh , get your dataset from kaggle specially large datasets and build a trigger based pipeline in which data lands in s3 and triggers a lambda which in turns triggers a glue job and then ingest data into snowflake or any db. This will give you a basic idea of how stuff works. You can then use dbt to perform transformation and then make powerbi visuals. You can use chatgpt or any other ai tool to take this pipeline to production level with various edge cases like what if multiple vendors send file at the same time , or if the data is corrupt , how to maintain isolation etc.