Muhamad Gatot S.

Data engineer building batch and streaming pipelines on GCP: Airflow, dbt, BigQuery, Pub/Sub, Dataflow. Top Rated on Upwork (100% Job Success) from 480+ hours of production data extraction work, so I know how to deliver reliably and keep data flowing from difficult sources. Best fit: teams that want an ongoing engineer to build, run and extend their data pipeline. Recent data engineering work ✔️ Indonesia FireWatch: end-to-end wildfire data platform. Satellite data flows through scheduled batch and near-real-time streaming paths (Airflow, Pub/Sub, Apache Beam/Dataflow), is modeled in dbt on BigQuery, and passes a data-quality gate that quarantines bad records before they reach the dashboard. 47,989 fire detections processed for Jan to Jul 2026. ✔️ NYC Taxi hybrid pipeline (portfolio project on public data): historical batch plus simulated real-time trips, bronze/silver/gold layers in dbt, Airflow orchestration, invalid events routed to an error log. What I work on ✔️ Pipelines: batch and streaming ETL/ELT, Airflow orchestration, dbt transformation ✔️ Warehousing: BigQuery, PostgreSQL, data modeling, data quality checks ✔️ Cloud: GCP (BigQuery, Pub/Sub, Dataflow, Cloud Storage) ✔️ Ingestion: Playwright, Puppeteer and Selenium for sources without an API Working together I stay on after launch for maintenance, new data sources and schema changes. Open to ongoing monthly work. Message me with your data source and where the data needs to end up, and I'll reply with how I'd structure it.