Reaching 20k+ readers on Medium and nearly 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
[ETR Vol. 10] Ready For School (Or Your Next Cert)?
Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi past, present or future data professional! For many, perhaps even yourself, it’s the most dreaded time of the year: Back to school. While data engineering doesn’t require “supplies”, it can be helpful to pick up a book or two. Aside from getting industry context, your latest data read can provide a helpful talking point in interviews or even impress in casual discussion. Though not quite a textbook, I highly recommend the book that opened my mind to the power and influence of data: Mindf*ck Cambridge Analytica And The Plot To Break America by fashion designer-turned data scientist Christopher Wiley. One of the most valuable lessons you can learn as a student is identifying what you won’t be taught. Despite its universality in data-driven orgs, SQL is under-taught in institutionalized data science curricula. Determining which skills you’ll have to learn on your own can help you prioritize your upskilling and even get you through the class from hell. And if you aren’t currently in school, picking the right certification can advance your career, while the wrong choice can lead to a cluttered LinkedIn profile—and mind. For those compiling a digital supply list, here are this week’s links as plain text:
Thanks for ingesting, -Zach |
Extract. Transform. Read.
Reaching 20k+ readers on Medium and nearly 3k learners by email, I draw on my 4 years of experience as a Senior Data Engineer to demystify data science, cloud and programming concepts while sharing job hunt strategies so you can land and excel in data-driven roles. Subscribe for 500 words of actionable advice every Thursday.
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! Despite crushing autocorrect scenarios, most AI code assistants like CoPilot miss a critical step when helping developers of any experience level: Validation. Arguably, leveraging an AI Agent to validate a code’s quality is on the user. But a surprising amount of experienced programmers are taking the worrying approach of believing an AI’s first “thought” when it comes to code that will...
Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! A data science manager recently gave me some blunt, liberating advice over coffee: “If a team lead really cares what cloud technology you know (AWS, GCP, etc.) and doesn’t consider transferable experience… run.” This critical advice, which informs the conclusion of my soon-to-be-released ebook on data engineering project development, cuts to the core of a major problem in data hiring: The...
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