I sat in a tiny room with a laptop between me and a teammate I liked.

When I said we were parting ways, my mouth kept running. But I started apologizing, praising, filling space. So the message got muddy, they looked confused, and I left ashamed. And years later, I still cringe.

First, time I let someone go, I thought kindness meant softening the truth. I wanted to be humane. I was just unclear. They didn’t know if they were fired or promoted.

Now, I get thank-you notes.

People reach out months, sometimes years, later to say how much they respected the way I handled it and ask for advice.

That's all because I stopped hiding hard news.

I stopped trying to be liked. And I started speaking like trust depended on it.

Because it does.

This October, you and I built the tools to do the same.

For layoffs, scope cuts, project delays, busted estimates. Everything you avoid until it’s too late.

That stops here.

Hard news, higher trust

This October, we closed another chapter in the Profitable Data Engineer Framework: Handling Difficult Conversations & Bad News.

The theme: Speak first. Speak clear. Earn trust.

I kicked things off with a breakdown of why silence kills trust faster than servers crash. You think you're protecting your image. You’re just making people nervous. Read it here.

Then I shared the tiny script I use when shit breaks. Just 3 lines. No fluff. It works for clients, bosses, even teammates. Grab the format.

Last, I gave you the full playbook I built from real scars: layoffs, delays, tough team calls. Scripts, delivery moves, receipts. It’s all here. This is the post to save.

Level-up with Hacktoberfest

Every month, I run yet another Level-up data engineering mini-course to help mid-level data engineers grow fast. October’s topic was Open-source contribution.

I showed you how to pick beginner-friendly issues, reach out to maintainers, and ship small wins during Hacktoberfest.

Bonus: how to turn those PRs into public proof of your skills. Full guide here.

Prompts, templates, and AI hot seats

We ran two community calls in October. Both packed. Both practical.

In the monthly workshop, I showed how I turn messy real-world conversations into clean, useful documentation faster than you can find the Confluence login.

I gave away the exact AI prompt and doc template I use.

Missed it? Catch the replay.

Then during the enablement (coaching) call, I told you: ask me anything about AI. Two standout questions came in, and we went deep. This call triggered more DMs than any other this year.

Watch the recording here.

Want in on the next one? Ask your question now so I can prep something sharp: https://tally.so/r/wz9QK8

Essays that hit hard

I dropped two big ones this month. Both hit nerves.

First, I showed you how to stop being a code monkey and start acting like a knowledge leader. No title required. No politics. Just proof of value. Read the manifesto.

Then, I told the story of a multi-million dollar project that crashed and burned. Not just to vent. But to share the 5 silent killers behind enterprise migration failures—and how to dodge every single one. Here’s the post.

These weren’t easy to write. But they’re the kind of essays that make you a better operator.

Before you start, ask these 5

We wrapped October with a free template pulled straight from my paid course, The Data Leader’s Influence System.

I shared the 5 questions I ask before saying yes to any project. They’ve saved me (and my team) from building the wrong thing more times than I can count.

Steal them here.

You can use them tomorrow. Drop them into your next kickoff. Your future self will high-five you.

3 Posts You Might’ve Missed

Also, these posts hit hard in October. Check them and enjoy the memes:

• Silence kills more data careers than incompetence

• Stop calling it a data strategy if all you can talk about are tools.

• Most data engineers are glorified plumbers

A few personal wins

October wasn’t just work. Here’s where I showed up, learned a lot, and met some great humans.

• I was named as one of the top 100 professionals in the Bulgarian tech scene. I'm the only data pro among all tech founders and founders and execs.

• I visited the Snowflake office in London (again). Caught up with their team, saw what’s coming in AI, and left fired up.

• I joined the first-ever Snowflake user group in my country. Great vibes, sharp minds, and finally some real community around this tool.

• I spoke at Data Stack Conf, talking all things Singer. Super technical. Super fun. Recordings coming soon.

• I also joined a killer CDO training where we went deep into building real data products that people actually use.

These moments remind me: data work is people work.

What’s coming in November

We’re not slowing down.

• This month’s mini-course is all about data governance. But not the kind that slows you down. I’ll show you how smart governance lets you ship faster.

• We’ve got two more community calls. You know, the live workshop and the coaching session. Want better answers? Ask your question early: https://tally.so/r/wz9QK8

• And we’re going deeper into High-Stakes Conversations. The kind that can shake a room. I’ll give you my exact playbook for leading them with calm and clarity.

• Last but not least: I’m cooking up something big for the second half of the month. It solves a real pain you’ve been telling me about. I can’t say more just yet, but trust me, you’ll want to see it.

Final thoughts

Quiet kills more careers than failure ever could. That’s what October taught me.

Every time I waited to speak, I lost trust I couldn’t win back. Every time I led with clarity, even when it sucked, I earned respect I didn’t expect.

Your job isn’t just to build systems that work. It’s to talk when it’s hard. To lead when it’s foggy. To say the quiet part out loud before it blows up.

November is when we practice that skill.

See you there,

Yordan