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KodeDevHub/ReadMe.md

Hello! 👋

I'm a Senior Data Engineer & Software Developer with over 3,5 years of experience in enterprise environments, primarily in the banking/financial sector. My expertise spans business logic implementation, data transformation, and ensuring data quality at scale, serving as a critical bridge between transactional systems and strategic decision-making platforms.

💼 Core Responsibilities & Daily Operations

I specialize in designing, analyzing, and optimizing complex business logic embedded within Oracle PL/SQL (packages, procedures, functions), ensuring data integrity and high performance in mission-critical systems. My work involves:

  • Large-scale data operations: Managing and manipulating datasets ranging from thousands to millions of records with precision and efficiency.
  • Performance optimization: Tuning complex SELECT queries, optimizing DML/DDL operations, and resolving performance bottlenecks.
  • Full-stack troubleshooting: Diagnosing and resolving issues across the stack—from database layer (PL/SQL) to application layer (.NET) and frontend interfaces (Vue.js).
  • Data lifecycle management: Executing data migrations, system upgrades, and production deployments within controlled environments.

🔭 Current Focus & Professional Evolution

I'm expanding my expertise into modern Data Engineering practices while leveraging my deep legacy system knowledge:

  • Cloud data architectures (Azure/AWS) and distributed processing with PySpark
  • Pipeline orchestration (Apache Airflow) and containerization (Docker)
  • Implementing CI/CD pipelines for both data and application code

🛠️ Technical Expertise

  • Oracle PL/SQL Advanced Development: Complex logic implementation, debugging, and performance optimization
  • Enterprise SQL & Database Operations: High-volume DML/DDL, query tuning, execution plan analysis, in-database ETL/ELT
  • Full-Stack Development & Troubleshooting: .NET backend systems, Vue.js frontends, and their integration with database layers
  • Data Systems Architecture: Hybrid strategies for business logic distribution across data and application layers
  • Data DevOps: Automated deployment pipelines with Jenkins, Git, and version-controlled database changes

💻 Tech Stack:

C# JavaScript Java PowerShell Python Vue.js AWS Azure Windows Terminal Bootstrap Vuetify NodeJS NPM Insomnia Flask Jenkins Apache Tomcat Apache Maven MySQL Redis SQLite GitHub GitLab Git Selenium Confluence Docker Cisco Jira Raspberry Pi Swagger XFCE TOR Godot Engine ESLint

📊 GitHub Stats:



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