Data Engineering · MLOps · AI Engineering
Spark · Kafka · Docker · Kubernetes
I'm a data engineer focused on building reliable, scalable data pipelines and distributed systems.
My work spans the full data lifecycle — ingestion, processing, storage, and automation — with a strong interest in operating workloads in containerized and cloud-native environments.
- Designing robust batch and streaming pipelines
- Understanding system reliability and failure handling
- Building reproducible and maintainable data and ML workflows
🎓 Konkuk University
2022.03. ~ Present
Applied Statistics / Computer Science & Engineering
📊 Boaz Data Engineering Club
2025.07. ~ Present
Club President | Data Engineering Division
- Reliability and fault tolerance in ETL/ELT data pipelines
- Latency and consistency trade-offs in streaming systems
- Containerized execution and deployment environments
- Experiment tracking and reproducibility for ML workflows
- Email: eru010930@gmail.com