One Trusted Set of Numbers for Companies Growing Through Acquisition

I pull every acquired business's systems into one set of numbers leadership can trust

The Problem I Solve

Companies that grow by acquisition end up with a different system for every business they buy. Each add-on brings its own ERP, its own chart of accounts and its own way of counting revenue. Someone in finance rebuilds the monthly numbers by hand, and leadership waits days for answers it needs now.

A full data team isn't the answer at this stage. One senior data engineer costs $160K+ a year and takes months to hire, and you need the numbers fixed in weeks.

What I Do Differently

I don't treat this like a typical consulting engagement with discovery phases and months of planning. I've built these pipelines before at SaaS, fintech, and enterprise companies, including one going through an acquisition. I know what works and what breaks.

I start by agreeing on the 10 numbers leadership needs, build one trusted version of them, then bring in the rest. The goal is first numbers within 4–6 weeks of getting system access.

4–6
Weeks to First Numbers
5+
Years in Data Engineering & Analytics
$160K+
Yearly Cost of One Senior Data Hire
1
Person, Start to Finish

Who You'll Work With

You work with me from the first call to the handoff. I don't pass your project to a junior developer.

Favian Tirado

Favian Tirado

Founder

I've spent 5+ years building and improving data platforms across fintech, SaaS, and enterprise companies. I've worked across multiple platform teams, joining mid-build, inheriting existing infrastructure, and starting from scratch. The job has always been the same: understand what's there, figure out what's broken, and make it work better.

What I actually care about is whether the business uses the data. A clean pipeline that nobody looks at isn't a win. I want the ops lead pulling their own numbers on a Monday morning without filing a request. That's the bar I build to.

I started Chicago Data Solutions after seeing the same situation play out at company after company. Data scattered across tools that don't talk to each other, no agreed-upon source of truth, teams making calls off instinct or a spreadsheet someone emailed last Thursday. It's a common problem, a very fixable one.

When you work with Chicago Data Solutions, you work directly with me. I scope it, I build it, I document it.

How I Work

What to expect when we work together

Fast First Results

I build what you need now, in a way that still holds up as you grow.

Hands-On Work

I write the code and build the pipelines myself. What you pay for is working software.

Transparent Pricing

Fixed-scope projects with clear deliverables. You know the price before work starts, and it only changes if you change the scope.

Built to Hand Off

When you hire your first data engineer, they'll inherit clean, documented code they can run without me.