Gen AI Data Guy

Having spent a lot of my time playing with Keboola and dbt to load and transform my data I wanted to have a look at just doing stuff in pure python. I have previously built the fill ETL pipeline for a company in python but haven't really had a need to touch it in over 4 years. Most of the work I did before was just using pandas with a few connectors to various databases and producing reports in Excel using xlwings. It wasn't pretty but it was effective and everyone was happy with the job that it did.  Instead I ended up using the prefect library. Well I built it all and then integrated it into prefect once I found it. I found it ok and it has some useful features bit it is not brilliant but that could be through back of use. It does allow you to produce DAGs and and lots of other useful functionality. Script below. 

The more I used dbt the more I like it. I am finding many of its features really useful and I haven't even done the training on macros and packages yet so I feel there is more to come yet. In the meantime I have now start to, just of the fun of it, create some downstream views with dependencies on other steps and a function in SQL. Happy to say it is all working really well and using jinja (and my Snowflake function ) has saved me heap of time coding.  Sources yml:  View using the source function (results in SQL) View that references the output from previous steps, allows them to be linked:  Assuming you create your sources in the yml file and reference previous steps using the reference function rather than calling the resulting table (dbt handles that for you) (as shown above) it will automatically work out the dependencies, run things in the right order and produces a lovely lineage graph like so.  I am hoping to stop playing with what I know of dbt and might make...