Full-Stack
Engineer

Building data platforms, analytics pipelines, and modern web applications

/Justin322322
Profile photo

ABOUT

Tools I Use

Data Stack

Python
SQL
dbt
Airflow
Snowflake
BigQuery
Spark
AWS
Redshift
EMR
Rust

Web Stack

HTML
CSS
JavaScript
TypeScript
Node.js
Django
NestJS
GraphQL
React
Next.js
Tailwind CSS

I'm Justin, a full-stack engineer specializing in data platforms and modern web development. 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, and EMR/Spark, high-throughput Rust utilities using Polars and Tokio, plus modern web development with React, Next.js, TypeScript, and Tailwind CSS.

ExpertiseData Engineering, Analytics Engineering, Cloud Data Platforms, Full-Stack Web Development
Currently LearningAdvanced System Design, Distributed Systems, Cloud Architecture
LocationPhilippines

Focus

Analytics pipelines, internal platforms, data modeling, and modern web interfaces.

Approach

Build for maintainability first, then sharpen the developer and user experience around it.

Selected
Work

Product work, experiments, and platform projects organized by focus area. Previews sit in a bento grid so scan patterns stay visual without relying on hover alone.

Data Engineering

Platform and pipeline work where systems design, transformation logic, and reliability matter more than marketing polish.

Pipeline DAG
Sources
API
S3
DB
Ingest
Airbyte
Fivetran
Transform
dbt
Airflow
Serve
Snowflake
BigQuery
Logical Decoding
CONNECT to prod_replica
Listening for changes...
txn id149203
actionINSERT
tableorders
Data Project2024

DATA PLATFORM MODERNIZATION

Batch + ELT with dbt and Airflow across Snowflake and BigQuery

SQLPythondbtAirflow+2
Event Throughput~12k evt/s
Event Logstreaming
event_idtypets
e-4a91click14:02:31
e-4a92view14:02:31
e-4a93purchase14:02:32
e-4a94click14:02:32
Kinesis
Glue
Spark
Redshift
Data Project2024

AWS ANALYTICS PIPELINE

Event ingestion to Redshift via Glue/EMR + Spark transformations

AWSRedshiftGlueEMR+2
Processing1.2M rows/s
input.csv420 MB
idmetricvalue
1001latency42.1
1002throughput891.4
1003errors0.02
.csv
.parquet
Compression
84%
Data Project2023

RUST DATA PROCESSOR

High-throughput CSV/Parquet transforms with Polars + Tokio

RustPolarsTokioParquet
DB Maintenance
inventory.sql
running
namesold
Espresso1,842
Latte1,203
Croissant967
Bagel541

Uptime

99.97%

Tables

34

Avg Query

12ms

Backup

2h ago

Data Project2019

POS DATABASE MAINTAINER

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

SQLMySQLBackupsMonitoring

Web & Open Source

Client launches, product explorations, and open-source contributions laid out in a clean 2-column grid.

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