Top data engineering writer on Medium & Senior Data Engineer in media; I use my skills as a former journalist to demystify data science/programming concepts so beginners to professionals can target, land and excel in data-driven roles.
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Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi past, present or future data professional! As someone who in the not-too-distant past Googled how to use a certain kitchen utensil (it may or may not have been a can opener), I can tell you there’s not much you won’t find on the search engine–except for how to use one of Google’s own products. In conversation with a peer, I realized that a process I take for granted, deploying a cloud function from GitHub using GitHub Actions, is lacking documentation. Sure, you can find bits and pieces from each platform, but in trying to answer a question, I couldn’t find anything that would tell you how to go from your IDE to GitHub to an automated Google Cloud Function. Instead of rubbing my hands together with glee knowing I’ve figured it out after deploying nearly 200 cloud functions, I took the extra step of creating a 5-day course that teaches you, with code, how to deploy a function on the cloud–an incredibly marketable skill for any data engineering candidate to possess and demonstrate. To spread knowledge, this course is 100% free and can be completed at your own pace. Between GitHub & Google Cloud, you’ll learn how to:
***Enroll here*** When you sign up, you’ll also gain access to a private repository containing code examples, including Python code for a simple ETL pipeline that you can alter and run. This is my first time presenting knowledge in course form, so I’m excited to hear how it helps you. Send me a message: zach@pipelinetode.com. Until next time–thanks for ingesting, -Zach |
Pipeline To DE
Top data engineering writer on Medium & Senior Data Engineer in media; I use my skills as a former journalist to demystify data science/programming concepts so beginners to professionals can target, land and excel in data-driven roles.
Extract. Transform. Read. A newsletter from Pipeline: Your Data Engineering Resource Hi past, present or future data professional! Somewhere along your professional development journey someone lied to you. They told you to crank out resumes because no one reads cover letters. This couldn’t be further from the truth as 87% of hiring managers read cover letters. Such a high read rate represents a compelling opportunity to sell your data skills and showcase a bit of personality. The problem?...
The Latest From Pipeline: Your Data Engineering Resource Hi past, present or future data professional! I hope you’ll indulge my sharing of an important career milestone; unfortunately, I’m not retiring with a gold Rolex snug on my wrist. Instead, this week marks 3 years in data engineering. I’m excited about this work-iversary because it marks a period of time in which I’ve been working in data engineering longer than my prior non-data job. If you’ve read my work you know I’ve taken an...
Extract. Transform. Read. A newsletter from Pipeline: Your Data Engineering Resource Hi past, present or future data professional! Browsing through files recently, I found 100+ old resumes I used to apply for data jobs in 2021. While data science is sold as a “good career”, the truth is it’s always been tough to break in. Those looking for jobs need to do more than ever to distinguish themselves. For anyone looking for a job you may have been taught to network with recruiters and hiring...