Data Engineer • Backend Engineer • Building scalable data platforms and resilient backend architectures
I design and build modern data platforms and backend systems that are scalable, reliable, and production-ready. From developing high-performance APIs and backend architectures to engineering robust data pipelines and analytics platforms, I enjoy creating solutions that turn complex problems into simple, maintainable systems.
- Design and build scalable ETL/ELT pipelines
- Develop modern data warehouses and lakehouse architectures
- Build analytics-ready datasets and reporting pipelines
- Optimize SQL, data models, and processing performance
- Implement data quality, governance, and workflow automation
- Design scalable backend architectures
- Develop RESTful APIs and microservices
- Build secure authentication and authorization systems
- Design efficient databases and system integrations
- Optimize application performance, scalability, and reliability
Languages
- Python
- SQL
- JavaScript / TypeScript
Backend
- FastAPI
- Django
- Node.js
- Express
- REST APIs
Data
- Apache Airflow
- dbt
- Apache Spark
- Pandas
- PostgreSQL
- MySQL
Cloud & DevOps
- Docker
- Kubernetes
- Git & GitHub
- CI/CD
- AWS | Azure | GCP
- Distributed Data Systems
- Event-Driven Architectures
- Real-Time Data Processing
- AI & Data Engineering
- Cloud-Native Backend Systems
📫 Email: alexanders7sg@gmail.com
I'm always interested in collaborating on challenging data engineering, backend engineering, and cloud infrastructure projects. Whether you're building a modern data platform, scalable APIs, or production-grade backend systems, I'd love to connect.

