Your dashboards are live. Your team is busy. And yet the numbers don’t quite add up — and nobody fully trusts them. I fix that.
Your dashboards are slow. Every change request takes days and risks breaking something else. Store managers stopped trusting the numbers and went back to spreadsheets.
Your team knows something is wrong — but fixing one thing breaks two others. Reports don’t match. Stakeholders ask questions nobody can answer confidently. Somewhere underneath all of it, there’s a foundation that was never built properly.
This isn’t a people problem. It’s an architecture problem.
Every dashboard fix requires touching the same logic in ten different places — and someone always forgets one.
When the data doesn’t match, people stop using it. Decisions go back to gut feel and spreadsheets.
Everything you want to build next depends on a foundation that isn’t solid yet.
Most companies either hire a full-time engineer — which takes months and costs a fortune — or bring in a consultancy that assigns whoever’s available and charges for the privilege.
I do neither. I come in as a senior specialist, work directly inside your environment, fix the foundation properly, and hand everything over when we’re done. No dependency. No ongoing retainer you didn’t ask for. You own everything I build.
“I build it. You own it. I leave.”
We talk about your situation. I ask questions. You ask questions. If it’s a fit, we move forward. If it’s not, I’ll tell you honestly.
I spend one week inside your environment — your dbt models, your Looker instance, your pipelines. At the end you get a written assessment of what’s broken, why, and exactly what it would take to fix it. Plus a project proposal with clear scope and price.
We agree on scope, timeline and price. I build. Weekly check-ins so there are no surprises. At the end I hand over documentation, walk your team through everything, and you’re done with me — in the best possible way.
Built the full analytics stack supporting their Amazon.com expansion across 7 countries. Star schema modeling, dbt + Airflow pipelines, LookML models and Looker dashboards. Reduced load times and costs by 40%. Migrated Looker Studio reports to Looker Core.
Refactored broken Looker models and rebuilt the dbt layer for store operations. Grew dashboard adoption from 100 to 1,500+ stores. Integrated visitor counter data to measure store and salesperson productivity. Supported HQ with sales and budget planning.
Led full migration of core data pipelines to BigQuery + Dataform + Airflow, rebuilding all business logic from scratch. Coordinated new UI implementation and established a support workflow with weekly reporting for the business team.
| Full-time hire | Data consultancy | FelipeIndependent specialist | |
|---|---|---|---|
| Time to start | 2–3 months | Weeks of scoping | 1 week |
| Who shows up | Unknown until hired | Whoever’s available | Me, personally |
| Industry experience | Maybe | Unlikely | 15 years, hands-on |
| Stack fit | Learns on the job | Generic | dbt · Looker · BigQuery |
| You own the output | Yes | Sometimes | Always |
| Cost | $120k+/yr all in | High + overhead | Fixed project fee |
| Risk | High | Medium | Low — defined scope |
Best for teams without internal data engineering capacity.
I design and implement the full solution — dbt models, LookML, dashboards, pipelines, documentation. You’re live in 6–8 weeks with everything working and your team trained to maintain it.
Best for teams with an internal engineer who needs a senior lead.
I set up the core architecture and build the first area. Your engineer handles the rest with my guidance and code reviews. Faster, more affordable, and your team learns in the process.
Best for teams who have capacity but need senior oversight.
I meet with your team weekly, review architecture decisions, unblock problems, and prevent expensive mistakes. You hire the engineers. I make sure they build it right.
One week. I come into your environment and do a full assessment of your dbt models, Looker instance, and data pipelines. At the end you get:
Discussed on the call.
Deducted in full from your project fee if you proceed within 30 days.
You walk away with clarity regardless of what you decide next.
I’m Felipe Bonzanini, an independent analytics engineer based in Brazil, working with US and European companies remotely.
I’ve been in data since 2010 — starting as a DBA at IBM supporting American Express and Panasonic, moving through BI and engineering roles at AMARO and Ambev, and spending nearly three years at Toptal as a Technical Account Manager working directly with 700+ companies across industries.
That last part matters more than it sounds. Most engineers are good at building things. Fewer are good at understanding what actually needs to be built and why. Working with that many clients taught me to ask better questions, earn trust quickly, and translate between what the business needs and what the data team can deliver.
I work on a small number of projects at a time so I can give each one proper attention. If the timing works and the problem is interesting, let’s talk.
Book a free 30-minute call. We’ll talk about your situation, and I’ll tell you honestly if I can help.
No pitch. No pressure. Just a conversation.
Book a call →