Welcome to my portfolio
Data Engineer
I build robust data pipelines and scalable infrastructure that power learning analytics and climate-impact systems. Passionate about data modeling, ETL/ELT orchestration, and turning raw data into reliable insights.
5+
Years Experience
10+
Projects Completed
100%
Dedication
Scroll to explore
About Me
Get to know me better
I'm a Data Engineer with 5 years of software development experience, specializing in data architecture, pipeline orchestration, and system reliability. I build the infrastructure that allows organizations to process high-velocity data securely and efficiently.
My technical focus centers on the Modern Data Stack (Python, dbt, Snowflake, PostgreSQL) and cloud platforms (AWS), ensuring high data integrity and performance. I am particularly passionate about applying data engineering to the EdTech sector (learning analytics) and the Green transition (carbon tracking platforms), where reliable data is critical for driving positive, large-scale impact.
My Journey
Experience
5+ Years
In software development
Projects
10+
Successfully completed
Focus
Reliability
EdTech & Sustainability
Data Reliability
Writing clean, maintainable dbt models and tested pipelines
Performance Optimization
Tuning SQL queries and reducing analytical latency
Domain Impact
Powering educational and sustainability data systems
Featured Projects
A selection of my best work showcasing diverse skills and technologies
Junyi Learning Pipeline
An end-to-end data pipeline that turns 16 million student problem attempts from the Junyi Academy dataset into a star schema and an interactive learning analytics dashboard.
Airflow orchestrates the load from a MinIO (S3) data lake into PostgreSQL / Supabase, dbt models the staging and marts layers, and Streamlit with Plotly serves the dashboard, all running on Docker.
Other Projects
Explore more of my work and side projects
Skills & Expertise
A comprehensive overview of the technologies and tools I work with