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.
When Isn't Automation Worth It?
The Latest From Pipeline: Your Data Engineering ResourceHi past, present or future data professional! Have you heard about the programmer who successfully automated his job to the point where he did no work for 5 years? Unfortunately, automation efforts are rarely this comprehensive—or successful. In fact, spending time on automation often results in a time sink, requiring more time to conceive and create the automation than time it saves you. In the latest from Pipeline, I provide a simple formula to determine ROI on automation. I also share successes—and failures—to inspire you to think critically before attempting to put any aspect of your job (or even the whole thing!) on autopilot. Read the story here. Until next time - 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! 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...
Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! A data science manager recently gave me some blunt, liberating advice over coffee: “If a team lead really cares what cloud technology you know (AWS, GCP, etc.) and doesn’t consider transferable experience… run.” This critical advice, which informs the conclusion of my soon-to-be-released ebook on data engineering project development, cuts to the core of a major problem in data hiring: The...