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.
[ETR #13] A 3-Step Python Script To Write Less Cover Letters
Extract. Transform. Read.A newsletter from Pipeline: Your Data Engineering ResourceHi 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? Those pesky 3 paragraphs take way too long to write—as long as 30 minutes per job. Assuming you’re applying to 3-5 jobs per day, you’re looking at 2.5 hours of cover writing time. Earlier this year, while helping a friend apply for data science positions, I created a simple Python script to auto-generate cover letters based on input. In addition to generating a cover letter based on my more than 500 hours as a career advisor, it will convert your output to a PDF, the preferred format for cover letters and resumes. Even if this helps you generate cover letters faster, you might want to think twice about “spamming” your resume/cover letter. Only use a bulk application method if:
Since I’m not trying to ask you to spend 30 minutes on this email, here are this week’s links:
Finally, this week is significant to me because 9/13 marks 3 years in data engineering. Read my story and advice for following a similar path. Why I Nearly Turned Down A 30k Raise And A Data Engineering Job Questions? You know where to find me: zach@pipelinetode.com. Until next time - thanks for ingesting, -Zach Quinn |
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 Hi past, present or future data professional! In 2024 I published roughly 75 stories, mostly about data engineering or technology; understandably, with the pace of life and media, you most likely missed something I hope you’ll find valuable and actionable. Keeping with one of my core beliefs, that data-driven tools should result in both professional enrichment and reduce personal problems, my methodology for picking stories out of that...
Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! If you’ve ever seen the legendary American sitcom Seinfeld, you might be familiar with the fictional holiday the characters create, festivus, “A festival for the rest of us.” As a rejection of conventional winter holidays like Christmas/Haunnukah, a core part of festivus is the “airing of grievances.” While I have yet to attempt this in real-life, I’ve spent the past two years airing my...
Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! It’s the most wonderful time of the year… performance reviews. Depending on your outlook on your job/org, that “wonderful” could be sarcastic. However, if you’ve landed on your manager’s nice list, this can be the time to recap your achievements to maintain credibility and work toward the next rung on the corporate ladder. If you’re on a small team serving demanding stakeholders it’s possible...