Senior BI Developer & Data Engineer
Specialist in turning data into strategic decisions. From pipeline to executive dashboard, with a focus on Python and Power BI.
With 15+ years across financial services, healthcare and manufacturing, I build end-to-end data solutions — from Python pipelines to Fabric and Power BI executive dashboards that drive strategic business decisions.
Based in Portugal, working with clients across Europe, fluent in Portuguese, English and Spanish.
Advanced M queries and DAX, complex semantic models, RLS and deployment pipelines
PySpark, Pandas, Polars, NumPy
Data Factory, SQL Database
DW & Data Lake design, medallion architecture, SCD Types, CI/CD pipelines, ODBC connections
A journey built in demanding enterprise environments — from Brazil to Europe.
End-to-end BI solution development in the financial sector — from large-scale data ingestion with Python and PySpark to executive dashboards in Fabric and Power BI. CI/CD pipeline management and deployments on Azure.
Development of executive dashboards for all business units and creation of KPIs that best reflect business performance and support decision-making. Data pipeline and Power BI report automation with Python and SQL — ~40% reduction in manual reporting effort.
Processing and organising clinical and operational data. Power BI dashboards for real-time operational monitoring integrated with SQL databases.
Full-stack data solution development — ETL pipelines, BI reports and interactive dashboards. Data-driven recommendations with direct impact on commercial strategy.
End-to-end data solutions — from architecture to dashboard.
Advanced M queries and optimised DAX, complex semantic models, RLS and deployment pipelines. From operational reports to executive dashboards.
Robust ETL pipeline development, large-scale data processing and workflow automation with the most relevant Python ecosystem frameworks.
Data pipeline orchestration with Azure Data Factory and relational database management with Azure SQL Database, integrated with the Microsoft ecosystem.
Data warehouse and data lake design, medallion architecture, dimensional modeling with SCD Types, CI/CD pipelines and ODBC connections for enterprise environments.
Review of existing Fabric and Power BI models, DAX and M query optimisation, bottleneck identification and performance improvement in production environments.
Training and mentoring in Fabric, Power BI and Python for all levels — from juniors to C-Level. Technical communication adapted to the audience, focused on practical results and real knowledge transfer.
Competencies demonstrated across real enterprise environments — applicable across sectors and business contexts.
Restructuring of batch pipelines to streaming architecture, achieving approximately 95% improvement in report loading performance. Big Data techniques implemented and adopted as a reference standard across the team's remaining projects.
Consolidation of multiple reports into a single BI product, from ETL with business rules to RLS by lines of business. A single source of data across the entire organisation, with visibility controlled by business area.
Rebuild of revenue and cost flows by segment through reverse engineering of existing data cubes. Clear P&L visibility delivered across business dimensions.
End-to-end data solutions — process automation, predictive modelling, population analysis for marketing targeting, sales optimisation and development of internal management platforms.
Have a data project, need support with Fabric, Power BI or Python, or just want to exchange ideas? Reach out — I always reply.