Extract. Transform. Read.A newsletter from PipelineToDE Hi past, present or future data professional! If you’re a job seeker in the data space, your GitHub portfolio has only one job: To act as a calling card that gets you to the next step of the hiring process. Too often, I review portfolios for potential referrals and see brilliant code buried under structural mistakes that have nothing to do with programming skill. Your GitHub is not just cloud storage for your code; it’s a public display case, and you must treat it like a technical resume. Here are three non-code mistakes that land promising portfolios in the reject pile, and how to fix them today. Poor User Experience (UX)A technical reviewer (or recruiter) should not have to spend minutes figuring out which project you want them to review. If your GitHub link requires the user to do work, you’ve already created a bad impression.
Lack of DocumentationMy journalism background taught me one thing: excellent documentation is a game-changer. Forgetting to document or doing it poorly is the biggest missed opportunity on GitHub. For a job seeker, documentation is your chance to frame your work for both technical and non-technical reviewers. It should be as simple as answering these questions in your README:
Adding a thorough README and clear in-line commentary elevates your code without having to change any functionality, making it easy for reviewers to advocate for you. Irrelevant ProjectsIf I see a project derived directly from a textbook exercise or a "learn to code" program, it shows a lack of creativity and relevance to the target role. I (and many other reviewers) generally don't care what you did in school unless you take it to the next level.
Read the original story to discover the fourth red flag I consistently see in GitHub portfolios. Last Call: Your Final Chance For Exclusive AccessI created my first ebook to solve the exact problems highlighted above to turn generic ideas into job-landing portfolio projects that impress recruiters and employers. This is the final newsletter before the waitlist is locked. Join now to secure your private access link next week, ahead of the general public release at the end of the month. Don’t miss the chance to start building your career calling card: 👉 Join the Exclusive Waitlist -Zach |
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Hi past, present or future data professional! If you’re in the U.S., Happy Thanksgiving! I’m prepping for my food coma, so I’ll make this week’s newsletter quick. Like millions of Americans, I’ll be watching NFL football (go Ravens!). The average NFL game is 3 hours. If you can skip just one of today’s games and carve out that time for professional development, here’s how I’d spend it. In the spirit of football, I’ll split the time designation into 4 quarters. Documentation pass - if you read...
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! In 2 weeks or so The Oxford English Dictionary will reveal its 2025 word of the year, a semi-democratic process that lends academic legitimacy to words like “rizz” (2023’s pick). If you’re currently employed or interact with white collar workers, you would think the word of the year is “headwinds.” Used in a sentence: “We’ve pivoted our AI strategy but still encountered headwinds that...
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! After choosing a dataset, one of the most significant decisions you must make when creating displayable work is: How am I going to build this thing? For some, you may try to “vibe code” along with an LLM doing the grunt technical work. If you choose this approach, be warned: Nearly half of all “vibe code” generated contains security vulnerabilities and that’s before you even consider its...