Welcome to the blog!
Tech front lines to AI era: real stories on leading teams, testing tools, and data engineering wins—short, human-crafted lessons for your daily grind.
Preamble
15 years ago, I worked at a company where we ran an internal blog — daily lessons from the trenches of our small consulting boutique that used math to improve business processes. I left after four years for personal reasons, but the itch to write blog posts never left; I missed turning chaos into something shareable - and discovering, through writing, what it really meant.
So in later teams I baked it in: Friday written stand-ups ended with a "lessons learned" rubric, typed up and circulated, turning weekly stumbles into quiet wins. Now, with AI, I spun up full blog functionality on modern-datatools.com in 30 minutes flat—then burned the next 30 fighting Git and auto-deployment quirks (a story for another post). This blog picks up that thread, sharing tech experience in the AI era the way it lands in real life: digestible, applicable, human-written.
What You'll Find Here
Expect three flavors, each rooted in what I've lived.
Tech Leadership Through AI Shifts.
I've led teams from manual pipelines to AI-assisted everything—rewriting codebases, rethinking roles, navigating the hype. Posts will unpack personal pivots: how I grew from coding solo to guiding AI-augmented squads, with stories of what scaled, what imploded, and the quiet habits that endure. Think: "How we cut deployment bugs 40% by pairing humans with AI prompts, and why it almost failed twice."
Tool Reviews From the Front Lines.
No top-10 lists. Instead, "I tried this AI data tool on a live ETL job—here's the before/after diff, the gotchas, and whether it'd earn a slot in my stack." Focus on software development with AI, data engineering breakthroughs, applied science workflows—industry reality, not vaporware.
Personal Notes on the Messy Middle.
The unpolished bits: aha moments from stand-ups, leadership regrets 15 years on, notes on staying sharp amid AI's pace. Like reviving that old internal blog habit, but public and perpetual.
A Promise on Style—and Substance
Posts stay short, to the point, like this one—stories that build to one clear takeaway you can apply tomorrow. Optimized for your time: scan the header, grab the lesson, move on. Search for "AI data engineering lessons" or "tech leadership AI 2026" and this surfaces because it lives those terms, not just mentions them.
This isn't AI-generated fluff; it's me, distilling my experience so you don't repeat the same loops. Stick around—the next post dives into what the creation of this blog taught me for AI-assisted devops. Welcome aboard.
Written by Egor Burlakov
Engineering and Science Leader with experience building scalable data infrastructure, data pipelines and science applications. Sharing insights about data tools, architecture patterns, and best practices.