Hello World — Meet Your Data Guy
Introducing myself, what this blog is about, and why I genuinely get excited about messy databases.
Hey there! Matthew Kassel here — your friendly neighborhood data wrangler.
If you’ve landed on this page, chances are you either work with data, manage people who work with data, or have a spreadsheet somewhere that’s slowly becoming sentient. Either way, welcome. Grab a coffee. ☕
Who Am I?
Brooklyn-born, Columbia-educated, currently roaming the world remotely while still judging every pizza by New York standards (sorry, Chicago).
I’ve spent the better part of my career turning chaotic databases into clean, enriched gold. That means:
- Deduping records that somehow have 47 variations of “Microsoft Corp”
- Building ETL pipelines that don’t break at 3 AM
- Appending firmographics so your sales team actually knows who they’re calling
- Unfucking CRMs that look like someone used them as a personal diary
I’m the guy who sees a messy spreadsheet and thinks, “I can work with this.”
What’s This Blog About?
I’ll be sharing:
- Data tips — practical stuff you can actually use
- ETL war stories — because sometimes you need to know you’re not alone
- Python snippets — code that actually works
- Industry rants — occasional opinions about why your CRM vendor hates you
No fluff. No “10 Ways to Synergize Your Data Lake.” Just real talk from someone who’s been in the trenches.
My Philosophy
Here’s the thing: every messy database can be saved.
I’ve seen datasets that would make a grown engineer cry. Inconsistent formats, duplicate records everywhere, fields that contain entire novels instead of phone numbers. And you know what? We fixed them. Every single one.
It takes patience, coffee, and maybe a few muttered curses. But there’s always a path forward.
What’s Next?
I’ve got some posts in the pipeline about:
- Why your CRM deduplication strategy is probably wrong
- The art of data enrichment (without breaking the bank)
- Python scripts I actually use in production
If any of that sounds interesting, stick around.
And if you’ve got a data mess that needs fixing? Let’s talk.
Nu, let’s get to work. ☕
— Matthew