Building scalable systems, resilient APIs, and data-driven pipelines.
- Building: Resilient microservices (SafeBank API) and automated end-to-end data pipelines.
- Specializing in: Deepening my expertise in Artificial Intelligence & Big Data architectures to build smarter applications.
- Targeting: Expanding my engineering career towards the European tech ecosystem (DACH region) in the coming years.
I treat code as a tool to solve business bottlenecks. My focus is on Clean Architecture, scalable microservices, and robust data orchestration. I believe in writing testable, maintainable code and automating workflows to deliver reliable solutions that perform efficiently under load.
Data Engineering Pipelines (DataTalks Zoomcamp)
Architecture: Containerized ETL/ELT pipelines orchestrated with Kestra. Ingestion via dltHub, streaming with Kafka, and batch processing with Apache Spark. Impact: Automates dataset ingestion into BigQuery Data Warehouses, applying Analytics Engineering best practices with dbt for clean, actionable business data.
SafeBank - Core REST API & Microservices
Architecture: Clean Architecture implemented with Spring Boot, secured via Spring Security, caching with Redis, and prepared for decoupled event-driven communication. Impact: Reduces system coupling, ensures high availability, and optimizes API response times for seamless end-user experiences.
