Justin Sibonga
Justin Sibonga profile photo

Justin Sibonga

I'm a full-stack engineer with experience designing, building, and scaling modern web applications, analytics platforms, and data pipelines—with a maintainability-first approach.

My work spans React, Next.js, TypeScript, dbt, Airflow, Snowflake, BigQuery, AWS, and Rust, combining product-focused engineering with reliable, high-throughput data systems.

01 - about

location: philippines

I design and build batch and streaming pipelines, ELT with strong modeling, observability-first workflows, and responsive web applications.

My work spans dbt and Airflow orchestration on Snowflake and BigQuery, AWS analytics stacks with Redshift, Glue, EMR/Spark, high-throughput Rust utilities, and web interfaces with React, Next.js, TypeScript, and Tailwind CSS.

I approach every project the same way: understand the data first, model the domain carefully, then build interfaces that make complexity invisible. Whether it's a dashboard tracking real-time metrics or a data pipeline moving millions of records a day, the goal is always the same — systems that are reliable, observable, and easy to change.

stack

tools i use

Data Stack

PythonSQLdbtAirflowSnowflakeBigQuerySparkAWSRedshiftEMRRust

Web Stack

HTMLCSSJavaScriptTypeScriptNode.jsDjangoNestJSGraphQLReactNext.jsTailwind CSSDockerPostman

02 - projects

all work ->

A selection of web apps, data platforms, and tools I've built — from production deployments to open source contributions. Each project reflects a focus on clean architecture, practical performance, and maintainable code.

03 - experience

2025
Full-Stack Engineer
React / Next.js / Data Platforms
2024
Analytics Engineer
dbt / Airflow / Warehouses
2023
Rust Data Utilities
Polars / Tokio / Parquet
2019
POS Database Maintainer
SQL / Backups / Monitoring

04 - data work

DATA PLATFORM MODERNIZATION

Batch + ELT with dbt and Airflow across Snowflake and BigQuery

2024

AWS ANALYTICS PIPELINE

Event ingestion to Redshift via Glue/EMR + Spark transformations

2024

RUST DATA PROCESSOR

High-throughput CSV/Parquet transforms with Polars + Tokio

2023

POS DATABASE MAINTAINER

Maintained POS database: schema tuning, backups, and performance monitoring

2019

05 - tooling

06 - github

github

07 - contact

© 2026

Let's build something useful.

Available for freelance and contract opportunities — I'm currently not open to full-time roles. Whether you need a data pipeline built, a dashboard designed, or a web application brought to life.