Data pipelines that would turn you into a decorated data professional

AI-generated image using Kandinsky

In this story, I would like to speak about data engineering career paths and data projects that look great on any CV. If you are an aspiring data practitioner not only willing to learn new tools and techniques but also aiming to build your own data projects portfolio — this article is for you. During my more than 15 years career in data and analytics, I witnessed good and bad CVs showcasing data engineering skills. Data engineering projects you were involved in or responsible for are the ultimate compass that tells a recruiter about your experience, how good you are and why they should hire you. This story is about how to present your data engineering experience in CVs and deliver that sense of professionalism and confidence that buy-in.

Starting a new data engineering project is always challenging as data engineering is probably the most difficult job role in the data space. You need to be a software engineer — to know how to build data pipelines, then you need to be a data analyst — to communicate efficiently with analytics teams using SQL, and in the end, you need to be an experienced data platform architect to manage all required infrastructure resources. It’s definitely worth the risk to start learning