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.
Data pipeline processing banking transactions with data validation, transformation, and loading. Implements robust error handling and data quality checks.
Automated banking data processing pipeline with built-in data validation and transformation workflows.
RESTful API serving Pokemon data with endpoints for querying species, stats, and abilities. Built with modern Python web framework for efficient data retrieval and filtering.
Scalable API architecture enabling efficient Pokemon data queries with clean endpoint design.
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.
A Python-based data pipeline that fetches data from multiple Invezgo API endpoints and loads them into Google BigQuery.
Automated data ingestion from Invezgo API to BigQuery, enabling real-time stock market analysis and visualization.