A data pipeline that will turn you into a prestigious data professional.
In this story, I want to talk about data engineering career paths and data projects that look great on any resume. If you're an aspiring data practitioner who's not only willing to learn new tools and techniques, but also looking to build your own data project portfolio, this article is for you. In his 15+ year career in data and analytics, I have witnessed good resumes and bad resumes that demonstrate data engineering skills. The data engineering projects you've been involved in or been responsible for are the ultimate compass that tells the hiring manager your experience, how good you are, and why they should hire you. This story is about how to express your data engineering experience on your resume to convey professionalism and confidence that will get buy-in.
Starting a new data engineering project is always difficult, as data engineering is probably the most difficult job 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 use SQL to communicate effectively with your analytics team, and ultimately you need to be a data analyst to know how to build data pipelines. Must be an experienced data platform architect managing the . All required infrastructure resources. It's definitely worth the risk to start learning…