at a glance
8
Certifications
5+
Projects
2
Live deployments
PT
Based in Portugal
data stack — end to end
01
Ingest
REST APIs
CSV
Batch I/O
CSV
Batch I/O
02
Transform
PySpark
Pandas · NumPy
SQL
Pandas · NumPy
SQL
03
Orchestrate
Apache Airflow
GitHub Actions
Logging
GitHub Actions
Logging
04
ML-Ready
Feature Eng.
Model Eval
Prediction Svc
Model Eval
Prediction Svc
05
Deploy
Render
AWS Cognito
WAF
AWS Cognito
WAF
featured projects
World Bank GDP Pipeline
In progress
End-to-end ETL on World Bank API data with S3 Hive-style partitioning, PySpark distributed transforms, and Airflow DAG orchestration.
PySpark
Airflow
AWS S3
Python
Customer Churn Pipeline
Video Demo
ML-integrated ETL for churn prediction. Deployed on Render with AWS Cognito auth and WAF security layer.
Python
AWS
ML
Render
NLP Sentiment Pipeline
Live
Text processing pipeline over product reviews driving a Streamlit dashboard with real-time filtering by category and time.
NLP
Streamlit
Neural nets
Workforce SQL Analysis
Complete
Diagnostic analysis of employee data covering compensation equity, diversity metrics, and workforce stability insights.
SQL
DataCamp
Analytics
main projects
World Bank GDP Pipeline
In progress
Designed and built a scalable end-to-end ETL pipeline for processing World Bank GDP data. The project includes modular paginated API extraction with robust error handling and logging, a multi-layer Amazon Web Services S3 architecture using Hive-style partitioning, and Apache Spark transformations for cleaning, type casting, null handling, and large-scale aggregations. Automated daily workflows with Apache Airflow DAGs for scheduled extraction, transformation, and analytics, creating a reliable pipeline that moves from raw ingestion to actionable GDP insights.
PySpark
Airflow
AWS S3
Python
Logging
Customer Churn Pipeline
Video Demo
Designed and implemented an end-to-end machine learning pipeline for customer churn prediction, covering data ingestion, preprocessing, feature engineering, model training, and deployment. Built reusable ETL components for data cleaning, missing-value handling, feature binning, and statistical aggregation, then integrated model evaluation and profit-based threshold optimization to improve business decision-making. Deployed the system on Render with Amazon Web Services services including S3, Cognito, and WAF for storage, authentication, and security, creating a reliable and scalable production-ready prediction workflow.
Python
ETL
AWS
ML
Render
NLP Sentiment Analysis Pipeline
Live
Built a text processing pipeline to clean, transform, and analyze large-scale product review data. Developed a neural network for sentiment classification and integrated it into an interactive Streamlit dashboard with dynamic filtering by product, category, and time. The project enables real-time exploration of review trends and demonstrates a production-ready workflow that combines scalable text processing with machine learning–driven business insights.
NLP
Streamlit
Neural nets
Python
other projects
DataCamp: Cleaning Data & The Skies
Competition
Cleaned and preprocessed real-world messy flight data to extract business insights and answer key analytical questions.
Python
Data Cleaning
EDA
SQL Workforce Data Analysis
Complete
In-depth SQL analysis delivering intelligence on workforce stability, compensation equity, and diversity from historical employee data.
SQL
Analytics
S&P 500 Financial EDA
Complete
Analysis of S&P 500 company distribution across US states, with focus on sector concentration patterns within regions.
Python
Pandas
Matplotlib
Finance
technical skills
Data Engineering & ETL
Programming & Processing
Orchestration & Monitoring
Cloud & Deployment
ML Integration & Analysis
soft skills
- Critical Thinking & Problem Solving
- Analytical Mindset & Data-Driven Thinking
- Attention to Detail
- Curiosity & Learning Agility
- Ability to Present Results & Insights
- Persistence & Self-Discipline
professional certifications
Data Engineer Professional
DataCamp
AI Engineer for Data Scientists Associate
DataCamp
Data Scientist Professional
DataCamp
Data Analyst
DataCamp
Python Data Associate
DataCamp
SQL Associate
DataCamp
AI Fundamentals
DataCamp
Data Literacy
DataCamp
quick info
Education
Bachelor's in Informatics Engineering
ESTG-IPVC — Instituto Politécnico de Viana do Castelo
Location
Based in Portugal. Open to remote positions and hybrid in the north of portugal opportunities.
Contact
Looking for
Junior Data Engineer role to contribute to data infrastructure and grow in distributed systems and orchestration.
about me
I am a Data Engineer with a background in Informatics Engineering, focused on building scalable data pipelines and production-ready data systems.
I have hands-on experience designing ETL workflows, transforming large datasets, and preparing data for machine learning applications. I have built end-to-end pipelines covering data ingestion, transformation, modeling, and deployment.
Recently, I completed the Data Engineer Professional Certification, working with tools such as Airflow and logging systems, strengthening my understanding of workflow orchestration and pipeline monitoring.
I am particularly interested in building reliable, scalable, and ML-ready data systems, bridging Data Engineering and Machine Learning.
Currently seeking a junior Data Engineer role to contribute to data infrastructure and grow in distributed systems and orchestration.