SOCAR Data Engineer
Batch platform, operational DB → warehouse pipelines, real-time pricing server, CDC lakehouse
Data Engineer · Seunghyeon Yang
A data engineer who keeps looking for ways to automate repetitive pain points and build resilient data infrastructure.
Hardened batch pipelines on Airflow and automated cloud infrastructure to keep data platforms reliably running in production.
Owned the full path from raw data processing to a BigQuery-based warehouse, so the organization can make decisions grounded in data.
Handled high-traffic workloads with gRPC/FastAPI and shipped MSA services reliably through GitOps (ArgoCD, Helm) — that combination is my strong suit.
Batch platform, operational DB → warehouse pipelines, real-time pricing server, CDC lakehouse
Solar power data ingestion platform, weather data pipeline automation
A PoC that swapped a once-a-day batch for CDC to fix stale reads and missing deletes.
A dbt layer that turns raw CDC change logs into tables analysts can query directly.
Moved Docker Compose Airflow onto Kubernetes with high availability and proper secrets handling.
A multi-stage ingestion path with a dbt transformation layer, designed to be gentle on the operational DB and safe to reprocess.
A dynamic pricing server that sets prices per region and vehicle type in real time, based on utilization and idle-rate demand.
An internal dashboard platform where analysts push SQL and HTML, and CI ships each as an independent service.
Always up for a conversation about data engineering, data infrastructure,
or interesting technical problems and opportunities.