Building scalable data pipelines and cloud-native data platforms. Structured roadmap aligned with enterprise consulting requirements. Based in Viseu, Portugal.
I am a self-directed professional transitioning into Data Engineering, with a structured preparation roadmap built around the technologies used in modern enterprise data platforms.
Rather than following a generic curriculum, I researched the actual skills required in consulting environments — specifically within Deloitte's Technology & Transformation practice — and built my learning path around those exact requirements.
I work from a fully adapted home setup, with motorised desks that allow me to shift positions at any time. This setup means I can commit fully to my work every single day, regardless of how my body is feeling. Remote-first, but always prefer to be with people when possible.
Pursuing a BSc in Computer Science at University of the People in parallel with the technical roadmap, alongside Harvard's CS50.
Foundational repository template enforcing standardised folder structure, logging boilerplates, and SDLC practices across all pipeline projects.
Designed and deployed a personal portfolio with custom domain, DNS configuration (A records, CNAME), CDN setup via Cloudflare, and SSL/TLS provisioning.
Fully automated ETL pipeline collecting data from a REST API, applying transformation logic, and storing output in PostgreSQL with Airflow scheduling.
Distributed processing of large public datasets using PySpark transformations and Spark SQL across a distributed computing environment.
End-to-end cloud data pipeline using Azure Data Factory, Azure Data Lake Storage, and Databricks with Delta Lake lakehouse architecture.
Star schema data warehouse design with dimensional modeling and analytical SQL queries optimised for business intelligence workloads.
All skills currently being developed through a structured roadmap — estimated completion 3–6 months.
Currently looking for entry-level, trainee, or mentorship opportunities within enterprise or consulting environments. Remote-first, available on-site in Viseu when possible.