Not Every Blog Post Is News
The submitted article is a personal introduction to someone's tech blog - specifically, a career narrative moving from Salesforce roles through data engineering toward data science and research.
This isn't news. It's someone saying hello on the internet.
What's missing: There's no announcement of a product, no funding round, no significant organizational change, no market development. The content discusses ice cream preferences and features a cover photo of a goat "because why not."
The broader context that matters: Career transitions from data engineering to data science represent a genuine industry trend. US data science roles are projected to grow 21% from 2021-2031 - over four times the average job growth rate. Mid-career data scientists (4-6 years experience) command median salaries of $179,000, compared to $139,000 for data engineers at the same level.
That wage gap and growth trajectory explains why professionals make this transition. It's driven by enterprise demand for machine learning capabilities and statistical modeling - skills that extend beyond the infrastructure focus of traditional data engineering.
What we'd need to make this reportable: Evidence of this trend at scale within APAC enterprises. Hiring data showing shifts in role requirements. CTOs discussing how they're restructuring data teams. Government agencies reconfiguring their analytics capabilities.
The real story: Individual career journeys don't become news until they reveal patterns that affect enterprise technology decisions. One person's LinkedIn update isn't that. Systematic shifts in how organizations staff data capabilities - that's worth covering.
We'll keep watching for those systematic shifts. This particular blog post isn't one of them.