👤 ABOUT ME: Data Engineer with 3 years of hands-on experience building batch and near-real-time data pipelines, backend services, and infrastructure for analytics and AI products.

I work across the data lifecycle: ingestion, orchestration, transformation, data quality, storage, APIs, deployment, and observability. My core stack includes Python, SQL, Apache Airflow, Kafka, PostgreSQL, ClickHouse, MinIO, Apache Iceberg, FastAPI, Docker, Kubernetes, Prometheus, and Grafana. Selected outcomes:
► Reduced spreadsheet-based processing from several days to under 10 minutes by building an Airflow and Python ETL workflow.
► Improved API and analytical-query performance by 40% through service and ClickHouse schema optimization.
► Cut deployment time by 50% through containerized builds and automated Linux deployment workflows.
► Built data and AI infrastructure including RAG pipelines, vLLM inference endpoints, data contracts, and self-service pipeline tooling.

Currently based in Phu Quoc Island and interested in Data Engineer, Data Platform Engineer, and Analytics Infrastructure roles with international teams.