Lead BI & Analytics Engineering Consultant

I make complex data useful.

I design modern analytics platforms and BI products that turn enterprise-scale data into clear, trusted decisions.

Rafael Figueiredo

Based near Frankfurt · Germany

8+years shaping
enterprise analytics
3B+records handled in
large-scale BI models
400+manager-level users
served by one solution
5languages spoken
across global teams

Experience

Work across complex enterprises.

Choose a company to expand the roles, technologies, and detailed contributions behind the work.

Deutsche BahnDeutsche LeasingSamsungWIRTGEN GROUPINNIO GroupMercedes-Benz Tech InnovationDeutsche BankRoche Diagnostics

Currently building

Tools built from the problems worth solving once.

Side projects that came out of consulting work, built to remove the manual step the next time it appears.

Metadata-driven Medallion for Fabric

A config-over-code ingestion framework. Metadata control tables drive the Bronze, Silver, and bridge layers feeding a Direct Lake semantic model, so onboarding a table means inserting metadata rows rather than writing code. Reconciliation fails loudly on mismatch, and the whole framework installs from the browser.

Microsoft FabricPySparkPythonMedallion
Deployed and runningPrivate repository

Fabric semantic-model toolkit

Notebook drivers for the model operations that otherwise get clicked through a UI: incremental-refresh lifecycle, read-only diagnostics down to per-column VertiPaq footprint, TOM metadata surgery, and cross-workspace model cloning with report rebinding.

Microsoft FabricTOMXMLAPython
In use · v0.6.0Private repository

Power BI design ecosystem

Three reusable layers so Power BI design stops re-solving the same problems on every project: a brand-aware theme system, a typed registry of report components, and a builder that assembles reports from a spec under a theme.

Power BIPBIRThemingPython
Theme layer built · components and builder in progressPrivate repository

What I bring

From raw data to confident action.

I work across the full analytics journey—with particular depth where engineering, BI design, and adoption meet.

BI products

Power BI and Tableau experiences built around the decisions people actually need to make.

Power BI · Tableau · DAX · UX

Analytics engineering

Reusable semantic models, tested transformations, and pipelines that stay understandable as they scale.

SQL · Python · dbt · PySpark

Modern data platforms

Pragmatic architectures spanning ingestion, Lakehouse layers, modelling, and governed consumption.

Fabric · Azure · Databricks · AWS

Technical leadership

A collaborative lead for migrations, standards, mentoring, stakeholder alignment, and team enablement.

Strategy · Training · CI/CD · SAFe
The best analytics product isn't the busiest dashboard. It's the one people trust enough to act on.

I combine hands-on engineering with a consultant's eye for the wider system: the business question, the data model, the interface, and the people who will own it next.

01

Frame the decision

Start with the business question, the audience, and what a better decision should look like.

02

Engineer the foundation

Build the models, pipelines, and delivery practices that make trustworthy analytics repeatable.

03

Leave the team stronger

Share patterns, coach collaborators, and make the finished system easier to own and improve.

Available for selected hybrid and remote projects

Have a complex BI challenge?

Let's turn it into a clear next step.

Start a conversation
Aschaffenburg · Frankfurt areaEnglish · German · Portuguese