Brazil-based technology consultancy · Global delivery

Data, Cloud & AI Delivery for Global Teams

Campanelli Analytics is a Brazil-based technology consultancy supporting organizations worldwide with data engineering, cloud platforms, analytics, AI and software delivery.

We partner with companies, consultancies and technology teams across Brazil, Europe, North America and Latin America — providing senior technical expertise through remote-first, flexible and project-based engagement models.

Brazilian business presence. International experience. Global delivery mindset.

Why Campanelli Analytics

Technical rigor

Scientific-computing discipline applied to complex, data-intensive engineering problems.

Senior execution

Hands-on delivery from architecture to implementation, without unnecessary layers.

Remote-first collaboration

Built for distributed teams working across time zones and borders.

Flexible engagement

Project-based, time-and-materials, dedicated capacity or staff augmentation, as required.

Global Delivery

Senior data, cloud, AI and software delivery for organizations working across borders — remote-first, flexible and B2B.

See how we deliver internationally

Partnerships

A technical partner for consultancies expanding into Brazil and Latin America, and for organizations hiring senior remote delivery capacity.

Explore partnership paths

Leadership

Wallison Campanelli — Founder & Technical Director

Senior Data Engineer and Data & AI professional. Doctoral researcher in Physics at Universidade de Lisboa and collaborator at LIP — Laboratório de Instrumentação e Física Experimental de Partículas, Portugal, working on detector simulation and calibration for neutrino experiments including DUNE, SBND and ProtoDUNE 2. Combines data engineering, scientific computing and applied AI to solve complex, data-intensive problems.

LinkedIn · GitHub

Selected Technical Experience

  • Designing scalable ETL/ELT data pipelines and analytics workflows.
  • Building data models, dashboards and decision-support systems.
  • Working with Azure, Databricks, Microsoft Fabric, Snowflake, PySpark, SQL and Power BI.
  • Automating data workflows and improving data reliability.
  • Applying scientific-computing practices to complex data-intensive problems.
  • Developing simulation, calibration and analytics workflows in international research environments.
  • Combining data engineering, software development and applied AI for complex technical challenges.

Let's build your next data or AI initiative.

Discuss a project, a dedicated team or a partnership opportunity.