Data Analytics · Engineering

Building practical products and end-to-end data systems.

I work across data engineering, analytics, and web delivery—from cloud ELT pipelines and tested data models to self-hosted applications. I use AI deliberately to accelerate delivery while owning requirements, testing, validation, and outcomes.

Data & Analytics

Python
SQL
PySpark
dbt
Alteryx
Power BI
Tableau
Qlik
Streamlit
Plotly

Platforms & Engineering

Azure
Databricks
Airbyte
Airflow
Google Cloud Storage
BigQuery
Docker
Flask
Jinja
YAML
Tailwind CSS
Pydantic
Terraform
Vercel

3+

years in data analytics

3

projects delivered

2

end-to-end products

Selected projects

From idea to working product.

Data engineering

ApexFlow

An AI-assisted Formula 1 analytics platform that ingests OpenF1 data, orchestrates historical backfills, builds tested BigQuery models, and serves an interactive dashboard. I designed, reviewed, tested, and iterated the flow from ingestion through transformation to delivery.

PythonAirflowGCSBigQuerydbtStreamlitTerraform
View repository

ELT → dashboard

Product delivery

Subtrack Web

A private-by-default, self-hosted subscription manager built with Codex under my product direction. I defined requirements, tested user and recovery workflows, validated releases, and operate the local deployment.

Product DirectionFunctional TestingRelease ValidationSelf-hosting
View repository

Directed & tested

Web development

Portfolio Website

A content-driven portfolio built with Flask and Jinja, styled with Tailwind CSS, configured through YAML, and deployed on Vercel with responsive and browser-tested layouts.

PythonFlaskJinjaYAMLTailwind CSSVercel
View repository

Designed & shipped

What I do

How I take work to delivery.

01

Product direction

Turning a practical problem into clear requirements, testable workflows, and an achievable release scope.

02

Data systems

Connecting ingestion, cloud storage, warehouse modelling, orchestration, and dashboards into complete analytical products.

03

Quality ownership

Testing behaviour, validating data, reviewing AI-assisted output, and checking deployment, recovery, and operational workflows.

Let’s connect

Interested in reliable data systems and useful analytics.

jasontwk1031@gmail.com