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.
[ETR #35] AI Can Train You In DE
Extract. Transform. Read.A newsletter from Pipeline Hi past, present or future data professional! Software engineers can package anything— including buzzwords. “Learn new, industry-relevant skills” was compressed to “upskilling.” And while I’m a proponent of continuous learning, especially when it helps you avoid stagnation, at the end of the day, upskilling is a lot of work. Without proper structure and no mandate from a school or employer, it’s difficult to remain engaged, no matter how interesting the content. My Udemy cart with 5 unfinished courses can attest to that. So when I wanted to brush up on the ever-relevant PySpark, I booked some time with Professor LLM; LLMs like Google’s Gemini (my choice to be compatible with my GCP tech stack) make incredible teachers because, like a real tutor, they can engage in a dialogue and adjust to your learning style on the fly. As a former tutor, I appreciate that it explains concepts as it provides results. This is the educational equivalent of “showing your work.” To get the most out of your chat bot study sesh, I recommend:
Lost in the AI hype is the power of being able to streamline simple tasks. I did this recently by using function calls to automate the conversion of Google Docs to markdown files I can render as blog posts. Answering a string of questions as a “teacher” isn’t as revolutionary as an AI creating “original” movies or podcasts. But by optimizing your learning, you’re creating an abundance of something far more valuable: Time. Thanks for ingesting, -Zach Quinn |
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! 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...
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...