About Me

Professional Summary

I am João Blasques, an AI-Enabled Data Engineer with over 7 years of experience in designing, implementing, and optimizing data pipelines and machine learning solutions. I specialize in transforming complex data challenges into actionable insights and automated systems that drive business growth and operational efficiency.

My career is built on a strong foundation in data engineering complemented by deep expertise in artificial intelligence and machine learning applications. I excel at bridging the gap between technical implementations and business objectives, ensuring that data solutions deliver measurable value.

Key Skills & Expertise

Technical Skills

  • Data Engineering: ETL/ELT pipelines, data warehousing, stream processing
  • Programming Languages: Python, SQL, Java, Scala
  • Big Data Technologies: Spark, Hadoop, Kafka, Airflow
  • Cloud Platforms: AWS, Google Cloud Platform, Azure
  • Machine Learning: TensorFlow, PyTorch, scikit-learn, natural language processing
  • MLOps: ML model deployment, monitoring, and lifecycle management
  • Data Visualization: Tableau, PowerBI, D3.js
  • Containerization & Orchestration: Docker, Kubernetes

Soft Skills

  • Strategic problem-solving and analytical thinking
  • Cross-functional team collaboration
  • Technical leadership and mentoring
  • Agile project management
  • Clear technical communication
  • Stakeholder management

What I Work On

  • Building end-to-end data pipelines for batch and real-time analytics
  • Designing medallion-architecture lakehouses on Databricks, BigQuery and Delta
  • Orchestrating workflows with Airflow, dbt and Kestra
  • Automated data-quality monitoring and anomaly detection
  • Bringing software-engineering discipline — testing, CI/CD, IaC — to data work

The projects and posts sections show this work in practice, with the code public on GitHub.

Personal Interests

Beyond my professional work, I'm passionate about:

  • Open Source Contributions: Active contributor to data engineering and ML libraries
  • AI Ethics: Researching and advocating for responsible AI development
  • Teaching & Mentoring: Conducting workshops on data science and machine learning
  • Technology Writing: Publishing articles on emerging trends in AI and data engineering
  • Hackathons: Participating in and organizing technical hackathons

I believe in the power of data and AI to solve meaningful problems and create positive impact. I'm always open to discussing new ideas, collaborations, or how these technologies can help address your specific challenges.