Extract. Transform. Read.A newsletter from Pipeline Hi past, present or future data professional! If you haven’t heard "Happy New Year" enough in the past week… let me be, hopefully, the last to say it as we embrace all 2025 has to offer. Beginning a new year comes with the inevitable conception (and ultimately ignorance) of a new year’s resolution. Instead of focusing on one abstract goal to improve, I’d like to suggest, instead, that you form lasting habits, especially when it comes to your technical career. To ensure this advice is relevant to all who graciously read it, I’m splitting my suggested habits into three buckets:
Habits for Job Seekers
There are a lot of negative factors impacting job seekers right now but with the macro economy improving, there is hope for a smoother process in 2025. Habits for Entry-Level Employees
In 2024 I earned my first promotion, slowly hoisting myself up the corporate engineering ladder. Habits for Advancement
The last habit that I suggest you ingrain, regardless of position, is to never take shortcuts. Validating your data is going to take an extra day and delay a release? Not ideal, but neither is releasing a flawed product that would require extra time for debugging and redesign. And remember, when writing your date strings it’s now 2025-01. That’s a habit that will take some adjustment. Before you go: If you’re looking for an end-to-end project with real-world application in 2025, I’d suggest analyzing your personal finances. My first story of ‘25 covers a dashboard I built over the holiday break to track yearly and monthly credit card spending–with zero API connections. Visualizing 48 Months Of Credit Card Spending with PyPDF, SQL & Looker (Pt. I) Thanks for ingesting, -Zach Quinn |
Reaching 20k+ readers on Medium and over 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.
Hi fellow data professional! Hardly a work day goes by without receiving a request from a data analyst. They range from the mundane “Can you add this column?” to the occasional emergency “The data didn’t load all weekend and the leadership call starts in 15 minutes!” At the end of a jam-packed week I received an unusual request: Help with a Python script. My teammate wanted to know: Best practices How to commit to GitHub What the best way to deploy is They admitted the task was simple,...
Hi fellow data professional! It finally happened. I fell for a job scam. Luckily I realized my naivety after responding to the initial email. But let’s back up. We’ll examine Why this particular attempt was so “real” What made me skeptical How to prevent this from happening to you Established professionals in any field have the privileged problem of receiving unsolicited recruiter inquiries. If it’s from a random firm I typically move it to junk; if it’s a big name company, I give a look...
Hi fellow data professional! The best data skills to develop right now might just be cutting and measuring. While that statement might be a bit facetious, the hot media narrative is to push the idea of blue collar work as a viable fallback if you’re having trouble breaking into a conventional tech role. Outlets like CNN have touted the fact that data center engineer is the hottest role in tech. Executives, specifically Nvidia’s Jensen Huang, speculate that data center construction (despite...