hi again, hoping someone can shed some light on my workflow planning.

Im rebuilding my project from scratch in clearml, using remote gitlab, i have my personal pc (dev) and a local linux machine (staging), no prod machine yet.
the process involves pulling data from an API, storing in postgres, and running an ETL pipeline for feature creation (most likely to be stored back in postgres unless i settle on a better solution)

im trying to think my way through setting up my project to develop on my pc:

• push changes to gitlab dev branch and have clearml-agent (dev) execute pipeline on my local dev machine
• merge changes into staging branch on gitlab and have clearml-agent execute pipeline on staging machine
  is this the right approach? im just trying to get the workflow to fit into the clearml way of doing things.
  Is anyone else doing something similar and could give me some tips or direct me to a walkthrough somewhere. I havent been able to join all the dots reading the docs so far.

Ive scoured the internet but have not found any resources on data pipelines or ETL using clearml

• can i have a clearml agent listed to a specific git branch?
• how are environment variables passed to the clearml agent for different branches?
• is there a full end to end project anywhere on the internet using clearml?
  i have a few blanks to fill in but i will say clearml looks like an awesome platform so far, i just need to align my dev workflow to get it up and running properly