I tend to waste a lot of time over analyzing things - especially when it comes to new content. So rather than continue to do that, this time I figured I'd share a raw behind-the-scenes look at something new I'm working on directly with you. Your feedback can make sure it's on the right track and will help you overcome real challenges you're facing. (or let me know if it's off the mark) Rather than bore you with text, I've recorded a Loom video breaking it down. Heads up - this was a completely unplanned video and I ramble a bit. But hopefully the main points still come across. Any feedback at all on this would be incredibly valuable. Feel free to leave a comment here or DM me directly if you'd prefer to remain private. Thanks as always!

Hi guys, I‘m a student learning about data engineering and building projects to get some internships in the field of data engineering. I just finished a warehouse architecture overview and I‘m not quite sure whether I‘m on the right track or not. Is anyone experienced and willing to review the architecture and give some feedback? I would really appreciate it :)

Hi Data Enthusiasts, I work as a data engineer, primarily focusing on the Microsoft platform. This year, I am looking to shift towards more freelance projects. I'm curious if anyone has experience transitioning from full-time employment to taking on independent, particularly remote, assignments. I aim to be location-independent and would appreciate hearing about your experiences. Additionally, if you have any tips, platforms, or potential employers in mind that offer remote data engineering work, especially those that are open to working with someone based in the Netherlands, I would be very grateful for your suggestions. Looking forward to your insights!

Hey Guys, In the ever-evolving world of technology, data architecture has become a pivotal aspect of how we manage, process, and leverage data in organizations. A modern approach to data architecture is not just about handling the sheer volume of data but also about flexibility, scalability, and the ability to integrate new technologies. What's your preferred approach when looking at architecture? I am currently working on a project following a data mesh approach. I am curious about which approach you prefer, focusing on small, medium, and large organizations.

Hi Everyone! I am quite new in Data Engineering as I have worked in Software Engineering before. I am now a Junior Data Engineer. The company I currently work for uses BigQuery and the GCP environment to do all their work and there is currently not much information online about Data Engineering using GCP. Any resources on the topic would be much appreciated.