Personal projects
AI-Driven Problem Solving Project
Data Engineer & BI Engineer
🇨🇦 Toronto, Canada
I'm a Data Engineer with ~9 years of experience building large-scale data systems.
I previously worked at NAVER, where I built data platforms supporting 20M+ daily active users across multiple services.
My focus is designing event-driven data systems and lakehouse architectures that transform high-volume event data into reliable, analytics-ready datasets for AI and business use cases.
Beyond infrastructure, I care deeply about how data is used — building derived datasets, defining metrics, and enabling teams with self-serve analytics and dashboards.
Recently, I've been working on LLM-based data systems in personal projects after relocating to Canada, focusing on turning unstructured data into structured, usable formats.
Always open to conversations around data platforms, analytics, or AI systems.
AI-Driven Problem Solving Project
Break period due to relocation
🇨🇦 Toronto, CanadaData engineering and BI system development
🏢 Company NameData engineering and BI system development
🏢 ZUM InternetComputer Engineering (Big Data)
2014 - 2016
Computer Engineering
2009 - 2013
Started this blog to organize and share the knowledge and experience gained from over 8 years of data engineering work in Korea.
During this break period for settling in Toronto, I aim to systematically organize past experiences and explore the evolving world of data engineering along with current trends.
Data pipelines, architecture, best practices
Latest technologies, tools, architecture patterns
Data analysis methodologies and insight generation
Utilization and comparison of various BI tools