Backend & Data
Engineer.
Building robust systems with humble excellence.
I specialize in designing scalable infrastructure and reliable data pipelines. My work focuses on precision, maintainability, and handling high-concurrency environments with grace.
Selected Work
Scalable ETL Pipeline
Data Engineer Role
Designed and implemented a data ingestion system processing 1TB+ daily events for real-time analytics. Optimized query performance by 40% through efficient partitioning and indexing strategies on Redshift.
FinTech API Gateway
Backend Engineer Role
Developed a high-concurrency microservices orchestration layer handling 50k requests/second with 99.99% uptime. Implemented circuit breakers and rate limiting to ensure system resilience during traffic spikes.
Real-time Fraud Detection
ML Engineer Role
Built a streaming pipeline to detect anomalies in transaction data with sub-second latency. Integrated a pre-trained ML model for scoring transactions and routing suspicious activity for manual review.
Achievements
Winner, Global FinTech Hackathon 2023
Led a team of 4 to build a decentralized identity solution.
Apache Airflow Contributor
Authored 3 PRs merged into core regarding Kubernetes Executor stability.
Speaker, PyCon ID 2022
Presented "Optimizing Python for High-Throughput Data Streams".
Education
Bachelor of Computer Science
University of Indonesia
Specialization in Distributed Systems. GPA: 3.8/4.0
Science Major
SMA Negeri 8 Jakarta
Certifications
AWS Certified
Solutions Architect
CKAD
Kubernetes App Dev
Data Engineering
Google Professional