Summary
In this chapter, we covered the fundamentals of data engineering that aspiring engineers can include in their portfolios. We covered the general phases of building data pipelines, including data ingestion, processing, cloud technologies, and storage. We concluded with a sports analytics example project to give you a practical way to put these skills to use. By mastering and showcasing these essential skill sets via portfolio projects, you will not only stand out during interviews, but you will also establish a solid foundation for your data engineering career.
Upon moving on to our upcoming chapter, Building Your Data Engineering Brand on LinkedIn, we will concentrate on converting these technical achievements into an engaging LinkedIn profile. Having a strong online presence can help you attract recruiters and hiring managers.
