3,200+
Dashboard Users
Active viewers consuming our reports
Let's find the answers that you need
If life gives you Yuzu,
extract it!
If life gives you Yuzu,
extract it!
extract it!
We turn raw, complex data into refreshing, automated insights.
🍋
Extracting Value
Raw data is just a crate of lemons. Our vision is simple: extract what matters, refine it until it's clear, and serve it in a glass you actually want to drink. That's ETL, the Yuzu way.
Extract
🍋
Squeeze the lemons
We pull raw data from every source: databases, APIs, spreadsheets, and that one crusty legacy system. Every lemon goes into the press. Nothing useful left behind.
Transform
⚗️
Filter, blend & sweeten
Pulp out, sugar in. We clean, filter, join and reshape the raw juice, fixing types, killing duplicates, and adding the business logic that makes it actually taste good.
Load
🥤
Serve it in the perfect glass
The finished juice is poured into a polished glass, a governed warehouse and dashboards your team can drink from. Clear, fresh, and ready for decisions.
🔁
♻️ Always Fresh
ETL is refreshing. Automated, it's a fountain that never runs dry.
Squeezing by hand is fine once. But the real magic is a machine that does it for you, pipelines that refresh themselves on schedule, every morning, while you sleep. No manual squeezing. Just value on tap.
Who We Work With
Whether you're squeezing your first warehouse or wringing sense out of a decade of spreadsheets, we've got the juicer for that.
Growing Companies
SMBs outgrowing Excel, ready for their first warehouse and governed reporting. Time to trade the squeeze-by-hand for a real press.
Enterprise Consolidation
Larger orgs unifying siloed systems, conflicting KPIs, and years of accumulated data. One orchard, one juice standard.
Post-Merger Integration
Merging teams that need one stack, one source of truth, and one reporting culture. Two groves, one blend, no pulp left behind.
What We Do
Explore our core engineering capabilities below. Select a technical pillar to see how we replace manual labor with scalable systems, and the exact deliverables you receive.
BI & AI Enablement
Your BI team shouldn't be the bottleneck. I set up your Fabric workspace, wire GitHub CI/CD, and train your squad to ship semantic models and dashboards faster with AI agents.
See dashboards & workflows →Key Deliverables
- Fabric Best Practices Workshop
- GitHub + Fabric DevOps Setup
- AI Agent Playbooks for BI
Impact across client deployments
50+
Semantic Models
Governed Power BI models shipped
36
Automations
Agents, flows & pipeline jobs live
2.6K
Contracts
Auto-sent for e-signature on behalf of clients
78 min → 4 min
Fastest Refresh Cut
Mirroring + direct lake architecture
Not enough
Spreadsheets Retired
There are always more hiding in a shared drive
Test our automations
Real flows we ship for clients, pick one, trigger it, watch it run in the open.
Transparent opportunity tracker
A minimal hook (name and work email) kicks off a full intake pipeline. Here we write to a live Supabase table so you can see it work in the open, but the same trigger can route straight to your CRM, a SharePoint list, or any other lightweight tracker your team already uses.
From that hook, a notification can automatically ping the right salesperson. When you want more context without manual research, an AI agent can run a quick web search on the email domain and fill in basics: company size, industry, and primary product or service.
- Capture: name + email from a two-field form
- Route: CRM, SharePoint, Supabase, or your stack of choice
- Notify: alert sales when a new lead lands
- Follow up: automatic email with a Calendly link
- Enrich: AI research from the email domain (size, industry, offering)
- Demo: live public table below (names and emails masked)
Trigger it now
| When | Name | Company | Status |
|---|---|---|---|
| Loading… | |||
Names and emails are masked in the public table.
How We Work
No account managers. No bloated timelines. Just direct technical partnership focused on clean execution.
Step 1
Direct
You deal with me, not a middleman with a fancy suit. Direct communication with the engineer building your systems ensures requirements are never lost in translation.
Step 2
Clean
I provide documented, maintainable code with standard CI/CD. I build systems that run themselves, so you don't have to babysit them after deployment.
Step 3
Integrated
When I propose a solution, the roadmap comes for free. You aren't paying for a plan; you're paying for the juice. Strategy is the natural byproduct of technical mastery.
Our Team
One senior specialist, zero middlemen, and a serious grudge against zest-less dashboards.
Seven years immersed in data, from ETL pipelines at an energy utility to machine-learning pricing models inside a $4B packaging company. Currently leading a BI squad at Cascades, architecting Microsoft Fabric solutions that turn raw transactional data into boardroom-ready decisions.
Yuzu.solutions brings that same precision directly to you, one senior specialist who gets hands dirty in the pipes, owns every medallion layer, and delivers reports you can stake decisions on.
🎓
BBA, Business Intelligence · HEC Montréal · Cum Laude
7
Years in Data
4
Companies
3
Languages
Experience
-
2024 – now
Expert BI Analyst & Squad Leader
Cascades
-
2021 – 2023
Business Intelligence Analyst
Keurig Dr Pepper Canada
-
2021
BI Consultant
Énergir
-
2020 – 2021
BI Intern
HEC Montréal
Core Stack
Power BI
Microsoft Fabric
SQL
DAX
BigQuery
Snowflake
Python
scikit-learn
Tableau
ETL / ELT
Cursor
Copilot Agents
Common Questions
What makes Yuzu.solutions different from traditional consultants?▾
We spend roughly 80% of engagement time on hands-on engineering, building pipelines, writing code, and deploying agents, rather than meetings and slide decks. Strategy emerges from execution, not the other way around.
What services do you offer?▾
Six core pillars: BI & AI Enablement, Infrastructure & Data, Technical Debt & Rescue, BI & Dashboard Delivery, MVP Builds, and AI & Automation.
What technologies do you specialize in?▾
Microsoft Fabric, Power BI, SQL, DAX, Python, scikit-learn, BigQuery, Snowflake, Tableau, ETL/ELT, Terraform/IaC, and AI agent development with Cursor and Copilot.
Who do you work with?▾
Growing SMBs graduating from Excel, enterprises consolidating siloed data systems, and post-merger teams needing one stack, one source of truth, and one reporting culture.