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 |
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...
Extract. Transform. Read. A newsletter from Pipeline Hi past, present, or future data professional! For all of the latest tech trends that come and go, one idea has always persisted in the tech world: Longevity isn’t cool. I say this because I recently hit a professional milestone: 4 years with my current organization. My career trajectory offers a counter-narrative to the “job-hopping is the only way to succeed” mentality. My goal isn't to convince you to be a “lifer,” but to demonstrate...