Available to hire
Back-end software engineer with 9+ years of experience building scalable backend services, data pipelines, and cloud-based systems for high-volume e-commerce and financial platforms. Skilled in Java, SQL, AWS, and distributed systems to support real-time processing and reliability at global scale.
Develops secure REST APIs, ETL workflows, and microservices using DynamoDB, MySQL, and streaming technologies. Applies automation and AI integrations to improve system efficiency and performance while operating in secure, high-throughput enterprise environments.
Skills
Language
Javanese
Advanced
English
Intermediate
Work Experience
Software Development Engineer II at Amazon (Alexa, AFT)
December 1, 2021 - PresentEngineered scalable backend services using Java, REST APIs, and microservices architecture to support real-time voice interactions across Alexa systems. Delivered secure API layers and service primitives enforcing authentication and authorization across 500K+ daily requests. Designed cloud-native architectures using AWS services (Lambda, DynamoDB, S3, Kinesis) processing multi-million interaction datasets with low-latency response. Optimized DynamoDB and MySQL data models improving query performance for 1M+ daily records. Built event-driven pipelines using AWS streaming services handling 200K+ real-time events per hour. Integrated AI-driven automation using Claude and NLP workflows for 100K+ voice interactions daily, improving response accuracy. Implemented monitoring and observability using CloudWatch and logging frameworks, analyzing 300K+ logs daily to detect anomalies and ensure stability. Led cross-functional collaboration with 10+ teams delivering 15+ service enhancements and arc
Software Development Engineer (Contra COGS) at Amazon
February 1, 2020 - November 30, 2021Developed Java-based microservices and REST APIs supporting financial workflows processing 200K+ vendor transactions monthly across 15+ retail systems for inventory and accounting. Orchestrated secure service integrations and validation logic ensuring accurate fund booking across 20+ financial pipelines and enforcing 100+ validation rules. Designed data processing pipelines using SQL and ETL frameworks handling 500K+ transaction records per batch while maintaining consistency across 10+ financial datasets. Enhanced query performance on MySQL and internal data platforms improving processing efficiency for 300K+ reconciliation records per month in high-volume retail systems. Partnered with 8+ finance, product, and engineering teams delivering 12+ system enhancements and audit-compliant workflows for large-scale retail operations.
Software Development Engineer Intern (Contra COGS – SPARX) at Amazon
June 1, 2019 - September 30, 2019Formulated real-time data processing services using Java to apply fixes for 100K+ daily financial events and deliver accurate amount calculations for internal systems. Optimized ETL pipeline components (data extraction, transformation, and load), filtering and aggregating 200K+ records per cycle from MetaStore datasets for downstream processing. Developed REST API endpoints enabling 50+ internal service calls per minute to retrieve processed financial data from DynamoDB. Enhanced a data persistence layer using AWS DynamoDB storing 150K+ aggregated records with low-latency access for real-time financial workflows. Collaborated with 5+ engineers and product stakeholders delivering end-to-end service implementation within a 12-week internship timeline, supporting financial data processing use cases.
Systems Engineer at Tata Consultancy Services (American Express – Information Delivery Network & Model Scoring Environment)
June 1, 2014 - June 30, 2017Engineered data pipelines using SQL, Teradata, and Unix processing 1M+ transaction records daily for fraud detection and secure financial data delivery. Strengthened fraud detection workflows using rule-based analysis and validation techniques identifying 5K+ high-risk transactions per cycle to reduce financial exposure. Architected end-to-end data flow from ingestion to destination tables integrating 10+ data sources for reliable delivery to business analytics systems. Programmed ETL processes across Hive, Teradata, and Sybase transforming 800K+ records per batch to support reporting and model scoring environments. Built model scoring frameworks integrating 6+ upstream systems and generating 200K+ scoring outputs per run for management reporting. Converted Teradata stored procedures into Unix-based scripts enabling execution across diverse environments and improving cross-platform data processing. Monitored pipeline execution and system logs reviewing 300K+ events daily to detect fail
Education
MS in Computer Science & Systems at University of Washington Tacoma
January 1, 2018 - January 1, 2019B.Tech in Computer Science & Engineering at Gandhi Institute of Technology and Management
January 1, 2010 - January 1, 2014Qualifications
Industry Experience
Financial Services, Software & Internet, Professional Services, Retail
Skills
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