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.
Why Put Emojis In A Data Pipeline? 😎
Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering Resource​Hi past, present or future data professional! I bet when you think of data engineering tools, you don’t think of smiley faces. But emojis, when used properly (and sparingly), can be a powerful way to emphasize logging messages and highlight infrastructure failures. Failing in data engineering can make you :sad_face:. Professionally, I’ve made every code mistake imaginable, with the highlight being omitting a column and needing to process a 45 TB table—twice! Even as I gain experience, I still make (but recover from) plenty of mistakes, which I document on a yearly basis. Since we’re a little more than halfway through the year, I’d encourage you to use this framework to honestly assess both your technical and interpersonal shortcomings as an aspiring data engineer. Proactively identifying areas of improvement is growth—and areas for improvement will pay more dividends than cramming in upskilling sessions. It might even make you :smiling_face: Here are this weeks un-embedded links:
P.S. – there’s a fun announcement coming in next week’s email. 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! I want to share the single most important realization I had back in the summer of 2021. I was burned out, juggling two part-time jobs, trying to plan a wedding, and drowning in full-time job applications. I felt overwhelmed and underprepared as I plunged into a sea of candidates I perceived to be more intelligent and better "fits" than me. My portfolio was full of the usual Titanic, Iris,...
Extract. Transform. Read. A newsletter from PipelineToDE Hi past, present or future data professional! One of the most validating and terrifying professional moments is reaching the final interview round. It is in this context that you meet candidacy’s final boss, who incidentally, usually ends up being your boss' boss. Specifically I’m referring to the department executive responsible for bringing in additional headcount, i.e. you. While this may sound intimidating, the role of the executive...
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...