Lisbon, Portugal 🇵🇹 Open to projects & interviews
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I build data products that drive decisions.

AnalyticsData EngineeringAI / RAGData Governance
LinkedIn•Contact
ETLAutomated ETL pipelines
AI / RAGApplied AI assistants
GovernanceIntegrated lineage & metadata

I’m a Data & AI Consultant dedicated to transforming complex information into actionable, data-driven strategy. I design and implement scalable data ecosystems that bridge Analytics, Data Engineering, and Data Governance — ensuring every solution delivers measurable and sustainable business value. Experienced across MicroStrategy, Power BI, SQL Server, Python, and Collibra, I’ve developed automated metadata pipelines, production-ready dashboards, and AI-driven assistants that streamline workflows, enhance decision accuracy, and accelerate time to insight. My work blends technical depth with strategic thinking, enabling organizations to harness data as a true competitive advantage.

Core Capabilities

Analytics & Business Intelligence

Design and delivery of semantic models, KPIs, and dashboards using MicroStrategy and Power BI. Skilled in data modeling, DAX, and data storytelling to support strategic decision-making at scale. Proven ability to turn complex datasets into actionable insights through performance-driven visual analytics.

Data Engineering & Automation

End-to-end development of ETL pipelines on SQL Server and Python, ensuring high data quality, consistency, and scalability. Experience in integrating APIs, automating data ingestion and transformation, and optimizing query performance for enterprise-grade analytics.

Data Governance & Metadata Management

Specialized in Collibra implementation and enablement, from metadata catalog rollout and workflow automation to lineage orchestration across complex data ecosystems (SAP, Power BI, Dremio). Proficient in REST API integration and Python-based ingestion frameworks.

Professional Experience

Deloitte — Tech Consultant · Data & AI

Jun 2023 – Present · Lisbon
  • Delivered end-to-end projects across Data Governance, Engineering, and Analytics for large-scale organizations.
  • Implemented and optimized Collibra for metadata cataloging, workflow automation, and lineage orchestration across SAP, Dremio, and Power BI ecosystems.
  • Developed ETL pipelines on SQL Server and Python, automating ingestion and transformation for KPI monitoring in Power BI and MicroStrategy.
  • Created custom JavaScript visualizations to extend MicroStrategy capabilities and improve data storytelling.
  • Enhanced data loading performance with Python scripts and optimized models for large-scale reporting.

Miles in the Sky — AI Course Builder

Apr 2023 – May 2023 · Lisbon
  • Developed an AI-powered course generation tool integrating OpenAI APIs with Python for automated content creation.
  • Applied prompt engineering to generate personalized and optimized learning experiences at scale.

Autoeuropa Volkswagen — Logistics Planning Intern

May 2022 – Nov 2022 · Palmela
  • Analyzed operational data from 120 Automated Guided Vehicles (AGVs) using Qlik Sense dashboards to support logistics optimization.
  • Identified underutilized robots and proposed reallocation, improving resource utilization and production efficiency.

Novo Banco — Engineering Intern

Feb 2020 – Mar 2020 · Lisbon
  • Gained practical experience in corporate IT and data management within a banking environment.
  • Supported internal teams with Excel and SQL process improvements, enhancing reporting accuracy and efficiency.

Technical Toolbox

Languages

Python, SQL, JavaScript/TypeScript, Java, VBA, Groovy, HTML/CSS

Analytics & BI

MicroStrategy, Power BI, Qlik Sense · KPI models, DAX, data storytelling

Data Engineering

SQL Server, Databricks, Spark, Airflow — scalable ETL pipelines, orchestration & optimization.

Data Governance

Collibra (Edge, REST, workflows) — lineage automation & metadata management across SAP, Dremio, Power BI.

AI & Machine Learning

Generative AI, LLaMA fine-tuning, time-series forecasting, model deployment & monitoring, OpenAI API, RAG (Supabase/pgvector),

Cloud & Collaboration

AWS, Git, Postman, Confluence, Jira — Agile delivery & version-controlled data products.

Education & Certifications

Education

  • Postgraduate in Applied Artificial Intelligence & Machine LearningISEG Executive Education (2024–2025), in partnership with AWS. 140-hour program combining ML, DL, Generative AI, time-series forecasting, and end-to-end model deployment & monitoring.
  • Integrated Master’s in Electrical & Computer Engineering — FCT NOVA (2017–2023). Thesis on data analytics for automated guided vehicle (AGV) planning.
  • Erasmus Exchange — AGH University of Science & Technology, Kraków (2021–2022).

Postgraduate Final Project — Regulatory Chatbot (SRIJ)

  • Developed a domain-specific Generative AI chatbot for the Portuguese Gaming Authority (SRIJ).
  • Extracted and structured legal knowledge from Portuguese gaming legislation and regulatory documents.
  • Built a Retrieval-Augmented Generation (RAG) pipeline with LLaMA fine-tuning to ensure accuracy, compliance, and traceability of responses.

Certifications

  • MicroStrategy Developer & Departmental Analyst (2025)
  • AWS Certified Cloud Practitioner (2023)
  • Collibra Solution Architect (2023)
  • Qlik Data Analytics Certification (2023)

Languages

Portuguese (Native) · English (Fluent) · Spanish (Elementary)

Personal Projects & Activities

AI Assistant & Portfolio Website

  • End-to-end project combining Generative AI, RAG architecture, and Next.js 15 + React 19.
  • Developed an interactive AI assistant capable of answering questions about my CV and experience, using OpenAI embeddings stored in Supabase (pgvector).
  • Implemented document ingestion, chunking, and semantic search pipelines for accurate retrieval and contextual responses.
  • Deployed a responsive and performant portfolio site with semantic HTML, reusable components, and SEO optimization.

Crypto Market Analysis — Ongoing

  • Python-based quantitative analytics using Binance API for real-time and historical market data ingestion.
  • Applied statistical modeling, correlation matrices, z-score, and hedge ratio to detect mean-reversion patterns.
  • Visualized results through time-series dashboards built with Pandas, NumPy, and Matplotlib.

Volunteering & International Exchanges

  • Contributed to social impact initiatives: Missão País, Just a Change, Banco Alimentar, and Projeto +.
  • Participated in intercultural exchange programs across Norway, Iceland, and Luxembourg, developing leadership and collaboration skills.

Timeline

Let’s build something valuable with your data.

Available for consulting, projects, and interviews.

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