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Applying for offshore IT roles (Java focus)
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Applying for offshore IT roles (Java focus)
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Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

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Sahuri/README.md

Hi, I'm Sahuri Abqori 👋

Principal Software Engineer & FinTech Architect

I am a veteran Software Engineer with nearly 20 years of experience specializing in building secure, high-availability, and highly scalable distributed systems for the Banking and Insurance industries.

  • 🏦 Expertise: Core Banking Integrations, Loan Disbursement Systems, High-Volume Payment Gateways (VA, Credit Card, QRIS).
  • 🚀 Current Focus: High-concurrency optimization using Java 21 Virtual Threads and Event-Driven Architectures with Apache Kafka.
  • 🛠️ Roles: Software Architect | Tech Lead | Scrum Master.

🧰 Tech Stack & Tools

  • Languages: Java (1.8, 11, 17, 21), SQL
  • Frameworks: Spring Boot 3.x, Spring Cloud, Hibernate, Spring Data JPA
  • Event Streaming & Messaging: Apache Kafka
  • Concurrency: Virtual Threads (Project Loom), Advanced Multi-threading
  • Architecture: Microservices, Event-Driven Architecture (EDA), Domain-Driven Design (DDD)
  • Databases: PostgreSQL, MySQL, Oracle

🏗️ Featured Technical Showcases & Architecture

As most of my enterprise production work falls under strict financial NDAs, I use this personal space to benchmark, experiment, and share open-source simulations of core backend patterns.

  • 🚀 ThreadTest: A high-concurrency benchmarking laboratory focused on performance tuning. It explores modern Java concurrency models, including Java 21 Virtual Threads (Project Loom) and multi-threading architectures, specifically tailored for optimizing massive transaction throughput.
  • 🛡️ JavaAopFilter: A production-ready architectural pattern showcasing decoupled cross-cutting concerns using Spring AOP and Custom Filters. Essential for FinTech applications to handle centralized logging, security auditing, and request validation without cluttering core business logic.
  • 📊 flink-csv-mssql: A high-performance Big Data pipeline project utilizing Apache Flink to ingest, process, and stream large-scale CSV datasets into MS SQL Server. Demonstrates expertise in stream processing and data integration patterns crucial for enterprise analytics.

🤝 Connect with Me

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  1. ThreadTest ThreadTest Public

    Multiple threading use Java for handling many requests

    Java 1

  2. spring-reactive spring-reactive Public

    Streaming with Spring WebFlux

    Java

  3. JavaAopFilter JavaAopFilter Public

    Spring AOP & Filter untuk Audit Logger

    Java

  4. SpringEventListener SpringEventListener Public

    Implementasi Event Listener di Spring Boot (Asynchronous Event-Driven)

    Java

  5. flink-csv-mssql flink-csv-mssql Public

    Flink 1.19 streaming pipeline: watch CSV folders → parse & join → JDBC sink to Microsoft SQL Server.

    Java

  6. python-django-webapp python-django-webapp Public

    Create web app use Python/Django

    Python