Data Infrastructure Engineer: Jakarta, Indonesia (UTC+7)

Data infrastructure that delivers insights where people already work: pipelines, spreadsheets, APIs, automation.

Available for data platform consulting

I build and operate data platforms that deliver insights directly into tools stakeholders open every day. At Rey.id, I lead the batch analytics platform: 25 ingestion pipelines, 599 dbt models, and automated data tests across BigQuery and Metabase.

Primary delta: slot time reduction

96 %

Less BigQuery slot time on critical datamart model

BigQuery slot time reduction from 100 to 4 Slot time decreased from 100 baseline down to 4 residual across partitioning, clustering, and pruning steps. 100 01Baseline -52% 02Partition -28% 03Cluster -16% 04Prune 4 05Residual

Scope: one production datamart model, same query and data volume before and after
Source: query audit, 2024

Selected work

Production pipelines, cost rewrites and automated delivery

Side builds

Apps Script workbooks and statistical packages

Data quality and refresh matrix

Automated test coverage and hourly table syncs

Tech stack

Daily driver and production tools paired with usage scope

Experience

Career trajectory in analytics engineering and data platform infrastructure

Order: newest first (left to right)

How I work