About

Data engineering for reliable reporting

I build ETL pipelines and KPI dashboards on Databricks and Power BI for finance and management teams.

  • Databricks ETL
  • KPI Reporting
  • Data Quality & Monitoring

Identity

Portrait of Matheus Cabral

Matheus Cabral

Lisbon, Portugal

Contact

Let's make data work for your business.

How I work

  • Translate stakeholder requirements into clear metrics + definitions
  • Build reliable Databricks ETL (Python/PySpark/SQL) with reusable patterns
  • Validate + monitor data quality to keep reporting consistent
  • Deliver KPI-ready models powering Power BI dashboards for finance/management

Values

What to expect when we work together

  • Data quality by default

    Automated checks + alerts keep KPIs trustworthy.

  • Reusable pipeline design

    Modular building blocks speed up change requests.

  • Business-first reporting

    Metrics align with stakeholder decisions + governance.

  • Clear documentation

    Shared definitions keep teams aligned and reduce churn.

Capabilities

Skills and toolset

Focused on Databricks, BI reporting, and reliable ETL delivery.

Languages

PythonSQLPySparkSpark SQL

Platforms

DatabricksPower BITableau

Tools

GitGitHubPandasNumPyPower BI Service

Practices

ETL/ELT pipelinesData modelingDashboards & reportingData validation
Timeline

Experience

A quick view of the roles that shaped my approach to data engineering.

11/2023 - Present

Data Engineer

BNP Paribas Lisbon, Portugal

Design and maintain ETL pipelines in Python, PySpark, and SQL, plus Power BI dashboards for finance and management.

08/2021 - 10/2023

Data Engineer

Protegrity Lisbon, Portugal

Built Databricks ETL workflows and cross-team dashboards for revenue, pipeline, and product usage KPIs.

11/2020 - 08/2021

Data Analyst

Megabeetle - Branding Agency Lisbon, Portugal

Produced performance reports and supported a SQL case management tool for insolvency workflows.