I am a data professional focused on building efficient data pipelines, orchestrating workflows, and enabling data-driven decisions. My career goal is to consolidate myself as an Analytics Engineer or Data Engineer, applying best practices in data modeling, transformation, and automation.
I am currently deepening my skills in both data engineering and backend development, actively seeking new challenges and positions as a Data Engineer or Backend Developer.
I enjoy solving real problems with clean code, reproducible pipelines, and data solutions that bring value to business.
- SQL for modeling, querying, and performance optimization
- Python with Pandas, NumPy, PySpark, and automation scripts
- Apache Airflow for workflow orchestration
- ETL/ELT with Meltano, Embulk, and dbt
- Containerization with Docker and version control with Git
- Databricks Delta Lake for analytical workflows
- Cloud: AWS (S3, Glue, Lambda) and GCP (BigQuery, Cloud Functions)
- Dashboards with Power BI, Metabase, and Looker Studio
- Advanced Excel for reporting and analysis
- Clear and concise data storytelling for stakeholders
Modular pipeline with multiple sources (PostgreSQL & CSV), fully containerized:
- Data extraction with Embulk (13 tables)
- Custom Meltano tap for CSV ingestion
- Load into PostgreSQL using JSONL and CSV
- Orchestration with Airflow DAGs
- Automation with Shell Scripts and Makefile
RESTful API in Flask with SQLite and Docker. Includes CRUD operations, Postman tests, and modular route separation.
End-to-end pipeline for HR data: collection with Python, loading into BigQuery, and visualization with Power BI.
Machine Learning project using XGBoost, SMOTE balancing, and model explainability. Covers EDA, training, evaluation, and delivery.
- Analytics & Data Engineering Track — Practical projects in ingestion, transformation, and orchestration
- DataCamp Portfolio: datacamp.com/portfolio/matheusvazdata
- LinkedIn: linkedin.com/in/matheusvazdata
- GitHub: github.com/matheusvazdata
- E-mail: matheusvaz.data@gmail.com
This space showcases part of my journey in data engineering and analytics. Always open to collaborations, learning, and new challenges.