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 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! 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...
Extract. Transform. Read. A newsletter from PipelineToDE Amid layoff announcements from Meta, Amazon and even UPS, it's job aggregator Indeed that signals a different concern for entry-level data job seekers. This week a post on Blind revealed Indeed’s plan to quietly reduce junior roles. They’re not necessarily going to stop hiring or layoff juniors (though they are losing 1300 employees by end of year)—they’re just going to stop paying attention to them. Specifically, Indeed will no longer...
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,...