Hi, Profesionally I work as a data scientist/analyst, so I know python, sql, statistics, data viz, ML and all of that stuff. What I always struggled with was data engineering - even when I was studying and we had a course fully about AWS (and we actually were doing \*stuff\* on AWS, that was about 3 years ago), I just never could get into it. There are so many options and services, it seems soooo complicated - but I know that's what makes AWS awesome and useful. Now I feel like it's time to actually get into data engineering - mostly because I find it harder than what I do profesionally and I like a good challange, but also because most IT job offers where I live are for AWS engineers, so who knows, maybe one day I'd be able to change career paths thanks to learning AWS. Recently I found myself in a situation, where I need to run a website scraper (preferably daily) but I don't want to do it manually. The whole thing is quite simple really, as of now I have a python script that scrapes data, and saves it into postgres on my PC, later I play around with it in python or powerBi. However, since I'm not always able to actually run the script every day, I wanted to automate it, by moving it to AWS (maybe besides the last step - playing with data in powerbi, I just need to have remote access to the db where scraped data is stored). My question is - do you think that moving this whole process to the cloud is a viable (or good) idea for an AWS beginner? I tried using chatgpt for it to help me, and when I look at the steps provided I sort of have an idea of how to implement it, but I just know that the details are probably too dificult to get absolutely right (I mean all of the settings, and security especially), and I don't want to mess anything up by incurring some unexpected costs (note that i'm obv using free tier rn). If you want to add anything or provide some resources that are best to start with to learn AWS please feel free to do so.