About
About
I'm Rendra — a data engineer based in Jakarta. I build and operate the pipelines that turn raw operational data into something analysts and decision-makers can trust.
Where I've been
I started in data science at Telkom Indonesia, working on COVID-19 data mining for PeduliLindungi and an IndoBERT-based text corrector for government sentiment analysis. From there I moved into production ETL for enterprise banking: three years at AMARTEK writing and maintaining 40–50 stored procedures and SSIS pipelines for Permata Bank's Antasena platform.
Where I am now
Since July 2026 I'm an Associate Data Engineer at SG-EDTS, working on BI delivery and moving into the modern data stack — GCP, BigQuery, Airflow, dbt and Looker. I'm also finishing a Master of Computer Science (Big Data) at BINUS.
Side projects
To learn the modern stack in the open I build small end-to-end pipelines — a medallion ETL on Airflow + PySpark + MinIO, a CSV cleansing pipeline with DuckDB, and an IDR FX advisor on Airflow + dbt + BigQuery + Terraform. They're all on GitHub and written up here.
Skills
Warehousing & SQL
Stored procedures, CTEs, window functions, query tuning on large datasets.
Relational storage, analytics and warehouse marts.
Orchestration & ETL
Production ETL workflows on SQL Server Integration Services.
Reliable pipelines, incident handling, data consistency across environments.
Modular, tested, version-controlled transformations.
Scheduling, retries and alerting for daily DAGs.
Languages
Pipelines, pandas, PySpark, NLP and ML tooling.
Version control and collaboration on data projects.
Indonesian text correction and sentiment pipelines.
BI
Validation, reporting and analysis in enterprise settings.
Dashboards, scheduled reports and BI delivery.
Cloud
Serverless warehousing and analytics.