I'm a data professional transitioning from analytics into data engineering — with 3+ years of professional experience building data systems, leading BI teams, and shipping analytical products at scale.
Most recently I led a BI team at VACO (supporting Google Surveys) in Taiwan, where I built centralized SQL architectures, automated cross-team data workflows, and mentored junior analysts. Now I'm channeling that experience into building cloud-native data pipelines using modern tooling.
- 🔭 Currently building Disaster Monitor — a real-time earthquake pipeline powered by the USGS API, Airflow, Snowflake, and Streamlit
- 🌱 Deepening expertise in dbt modeling, Docker, and GCP
- 💡 Strong background in Google Workspace automation (Apps Script, Sheets, Looker Studio)
- 🧠 MBA graduate with a quantitative background in Chemical Engineering
Data Engineering & Orchestration
Cloud & Data Warehousing
Languages & Scripting
Analytics & Visualization
Productivity & Automation
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Real-time global earthquake monitoring pipeline ingesting live seismic data from the USGS API. Orchestrated end-to-end with Airflow, containerized with Docker, modeled in Snowflake + dbt, and surfaced through a live Streamlit dashboard hosted on GCP.
🔑 Highlights: Live API ingestion · Medallion architecture · Containerized orchestration · Cloud-hosted dashboard |
Production-style data engineering pipeline for global ski resort and snow coverage data. Built on Medallion Architecture (Bronze → Silver → Gold) with geospatial joins, weighted scoring models, and full dbt testing and documentation.
🔑 Highlights: 500+ resorts classified · Geospatial joins · dbt quality tests · Live docs ↗ |
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90+ years of World Cup tournament data analyzed using BigQuery SQL and Tableau. Uncovered correlations between matches played and goals scored, quantified home advantage effects, and built interactive dashboards for tournament scoring trends.
🔑 Highlights: 90+ years of data · Host advantage analysis · Award winner patterns |
WhoScored: Automated Selenium scraper extracting structured football match stats for downstream analysis. Moody Quotes: Scrapy-powered quote scraper with mood-based categorization, served through an interactive Streamlit app.
🔑 Highlights: Web automation · Data ingestion · Streamlit UI |
BI Team Lead @ VACO (supporting Google Surveys) · Taipei, Taiwan · 2024–2025
- Led 4 specialized BI functions across Data Engineering, Analytics, Knowledge Architecture, and Innovation
- Built a centralized SQL data architecture consolidating historical utilization data from 2022–present, improving reporting efficiency by 80%
- Automated brand safety data workflows with Apps Script, cutting manual maintenance time by 90%
- Mentored 8 junior analysts in SQL, Looker Studio, and Apps Script
Data Analyst @ VACO (supporting Google Surveys) · Taipei, Taiwan · 2022–2024
- Standardized data integration workflows across international teams, improving reporting accuracy by 50%
- Automated recurring business reports using SQL + Google Sheets + Apps Script, reducing manual effort by 50%
I'm open to new opportunities — whether that's a data engineering, analytics engineering, or analyst role where I can keep building things that matter.
I'm also always up for a conversation about pipelines, data architecture, dbt, or anything in the modern data stack. If you've got a messy data problem, even better.
📬 Reach out on LinkedIn · Follow the build on X · See the work at Portfolio