I'm an IT systems administrator that evolved into a data-focused engineer combining:
- Software development
- Data engineering
- Project management
My work revolves around designing and connecting systems to make data useful, reliable and interoperable.
- 🔄 Data migration & integration (custom pipelines, APIs)
- 🧩 System interoperability & architecture
- 📊 Data modeling & dashboards
- ☁️ I focus on non provider dependant solutions, but AWS and Azure specific solutions are not a problem
- 🔐 Cybersecurity-aware data systems
- 📍 Work with geospatial and observational data
I focus on making systems talk to each other and turning raw data into decisions.
- Languages: Python (main), Bash
- Backend: APIs, data pipelines
- Frontend: Angular (not main skill, just for occasional tools and Progressive Web Apps)
- Cloud: AWS, Azure
Bad data = bad decisions. Data must be:
- Accurate
- Complete
- Consistent
- Timely
- Findable
- Accessible
- Interoperable
- Reusable
Most of my repos revolve around data extraction, transformation and integration. Some things I’ve worked on:
- 🔐 Tools for extracting and managing browser passwords (Python)
- 🌍 Citizen science data processing (OdourCollect, IctioPy)
- 🏥 Data platforms for healthcare apps (NoPucEsperar)
- 📡 Data enrichment and management tooling
- Data interoperability at scale
- Building maintainable data systems
- Bridging enterprise systems with custom tooling
- Improving data quality in real-world environments
- 🌍 Website: https://alejandroamo.eu
- 💼 LinkedIn: https://linkedin.com/in/alex-amo
- 💻 GitHub: https://github.com/alejandro-amo
I’m especially interested in:
- Data-heavy projects
- System integration challenges
- Open data / citizen science
- Anything where data quality actually matters