I design and build scalable data platforms, cross-cloud pipelines, and real-time streaming systems that turn raw data into reliable, production-grade infrastructure. Formerly in cloud — now shaping how data flows through it.
Experienced Data Engineer specializing in designing and implementing scalable, cross-cloud data platforms and warehouse solutions to support advanced business and finance reporting. Proven expertise in orchestrating workflows using Airflow, managing large-scale ETL/ELT processes across GCP and AWS, and building robust real-time streaming solutions with Kafka. Strong command of SQL, Python, and Java, with experience in implementing CI/CD pipelines to ensure reliable, high-quality data delivery and deployment automation.
PT Link Net Tbk
Leading Indonesian telecommunications provider delivering high-speed broadband, premium pay-TV, and innovative connectivity solutions through an extensive fiber network under the First Media and Link Net Fiber brands.
IYKRA
Consulting, training, and implementation company focusing on AI, Big Data, and Analytics. The Data Fellowship accelerates the journey of aspiring Indonesian data engineers through an intensive 4-month curriculum.
Xtremax Teknologi Indonesia
Certified digital transformation company providing innovative cloud solutions. Headquartered in Singapore, assisting clients with large-scale server migrations, cloud migrations, application modernizations, and containerized services.
End-to-end automated ML pipeline for customer lifetime value prediction and segmentation using RFM analysis. Built with Medallion architecture on GCP, integrating data quality checks and interactive dashboards.
Automated customer segmentation reducing manual analysis time by 80%, enabling data-driven marketing strategies.
Scalable ETL pipeline for university attendance data processing with Docker containerization. Three-layer architecture (Staging → Warehouse → Mart) with automated weekly reporting.
Three-layer Medallion architecture with containerized deployment; automated weekly attendance reporting.
Data ingestion pipeline from local PostgreSQL to BigQuery using Python transformation and Cloud SQL. Processes banking fraud detection dataset through a clean data flow.
End-to-end data flow from local CSV through transformation to BigQuery data warehouse.
Production-ready CI/CD pipeline automating AWS Glue job deployment using Azure DevOps with multi-environment support (DEV/PRD), smart change detection, and S3 Tables integration with Apache Iceberg.
Reduced manual deployment time from hours to minutes; zero-downtime deployments across environments.