About
I studied Aerospace Engineering at ITB, then moved into data engineering — currently building and maintaining pipelines for regulatory reporting across 9 Indonesian banks, covering daily to yearly submission cycles. Most of my work is in SQL and ETL: PostgreSQL, Pentaho, Airflow, Docker, and Python, processing hundreds of thousands of records a day where a broken pipeline means a missed regulatory deadline. I build pipelines to not fail — and when they do, to fail in a way that's easy to trace.
At A Glance
Work Experience
Skills
Check out my latest work
This project implements an end-to-end ETL (Extract, Transform, Load) pipeline using Apache Airflow to automate the ingestion of sales transaction data from Google Drive into Google BigQuery.
This project is an end-to-end data pipeline built to extract, load, and transform (ELT) e-commerce data into a cloud data warehouse. It is designed to be fully containerized and easily orchestratable, answering the need for scalable data architecture.
This project is an automated, production-ready data pipeline that transforms and tracks customer subscription data. It leverages Apache Airflow for orchestration, dbt (Data Build Tool) for data transformation and quality testing, and Google BigQuery as the cloud data warehouse.
Get in Touch
Want to chat? Just shoot me a message with a direct question on LinkedIn and I'll respond whenever I can.