Currently working as an IT Engineer in the IT Operations Team at Mirae Asset Life Insurance. My responsibilities include data architecture, BI (Business Intelligence), and IT operations to enhance business decision-making.
Period: February 2025 – Present
Role:
- Data Architecture & Business Intelligence:
- Implementing efficient data pipelines for business operations.
- Providing real-time BI dashboards and reports for C-level executives.
- Optimizing database structures and ensuring data integrity.
Training by: Bespin Global MSP
Course Period: August 2024 – January 2025
Platform: Seoul SeSAC
🟢 Completed Modules
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Cloud Architecture Design:
- Designing fault-tolerant, high-availability architectures.
- Multi-region setups and disaster recovery strategies.
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Linux & System Basics:
- Server installation and management in Linux environments.
- Shell scripting for automation.
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Database & Data Analysis:
- Relational databases, SQL queries, and data visualization tools.
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AWS Cloud Services:
- EC2, Lambda, IAM, VPC, S3, and QuickSight.
- Objective: Built a data-driven dashboard to analyze and visualize fire department response times and optimize resource allocation for improved golden time adherence (7 minutes).
- Core Features:
- Batch pipeline for ETL of historical fire department data.
- Real-time data ingestion for traffic and accident monitoring using AWS Lambda.
- Integrated AWS SNS for real-time notifications on critical incidents.
- Technologies Used:
- ETL Pipeline: AWS Glue, S3 (Parquet storage), Pandas.
- Real-Time Processing: AWS Lambda, Apache Flink.
- Visualization: AWS QuickSight, Grafana.
- Achievements:
- Identified regions exceeding response times and suggested resource reallocation.
- Enabled real-time monitoring of emergency traffic conditions to enhance response times.
Explore this project in detail:
Fire Emergency Golden Time Project
A comprehensive 3-Tier web service architecture project built with AWS. This project integrates:
- Scalable Cloud Architecture Design.
- Performance monitoring using Prometheus & Grafana.
- Automated load testing with K6.
- Separation of static and dynamic resources for optimization.
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Dynamic and Static Resource Separation:
- Reverse proxy using Apache to route requests efficiently.
- Improved backend performance by isolating resource types.
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Performance Monitoring:
- Real-time dashboards with Grafana.
- Logs stored securely in AWS S3 for long-term analysis.
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Load Testing Results:
- Simulated 100 virtual users with K6 for scalability assessment.
- Validated server capacity and application performance under stress.
Explore this project in detail:
AWS-3tier-Architecture
Bachelor of Engineering in Computer Science & Electronic Engineering
Chung-Ang University, Seoul, Korea
March 2019 – August 2025 (Expected Graduation)
GPA: 4.26/4.5
| Category | Skills |
|---|---|
| Programming | Python, Java, SQL, C++, Rust |
| Data Engineering | Pandas, NumPy, Apache Flink, Spark, ETL Pipelines |
| Cloud Computing | AWS (EC2, S3, Lambda, Glue, QuickSight, CloudWatch), Kubernetes |
| BI & Visualization | AWS QuickSight, Grafana, Tableau |
| DevOps & Monitoring | Prometheus, Grafana, CI/CD, Docker, Terraform |
| Database Management | MySQL, PostgreSQL, DynamoDB |
- Tools: Raspberry Pi, OpenCV, Python
- Goal: Developed an IoT-based real-time eye-tracking system for disabled individuals, improving accessibility and user interaction.
- Tools: React, FastAPI, MySQL
- Goal: Designed a database and implemented backend functionality to manage flights, reservations, and seat availability.
- TOEFL: 89 (June 2023)
- Exchange Program: University of Turku, Finland (Dec 2023 – June 2024)
- Participated in software development and data engineering projects.