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einnar82/README.md

Hi, I'm Rannie

Head of Engineering | Software Development • Data Engineering • Data Analytics

Experienced technology leader managing large-scale data operations and engineering teams in the financial services sector. I bridge the gap between technical execution and business outcomes, having led initiatives that process 566+ million records and 1.4TB+ of data monthly.


What I Do

I lead engineering teams in building robust, scalable systems that handle mission-critical data operations in highly regulated environments. My focus is on delivering reliable solutions that meet strict compliance requirements while maintaining high performance standards.

Leadership & Team Management

  • Head of Engineering at a credit bureau in the Philippines
  • Previously managed 9 Laravel developers across 16 active projects
  • Driving technical strategy and architecture decisions for enterprise-scale systems
  • Building high-performing teams through mentorship and strategic technical guidance
  • Implementing modern development practices and AI-assisted workflows

Core Expertise

Software Development

  • Backend Development: Laravel, PHP, Python, Node.js, TypeScript, Go
  • Node.js Frameworks: Express, Fastify, NestJS
  • Go Frameworks: Gin
  • System Integration: MS Dynamics 365, Payment Gateways, ERP Systems (Zoho Books)
  • API Design: RESTful services, webhook integrations, third-party API orchestration
  • Enterprise Applications: Complex business logic, multi-tenant systems, compliance-driven architecture
  • AI Integration: Exploring RAG systems, code review automation with Ollama/Gemma 2B

Data Engineering

  • Big Data Processing: Apache Spark, Delta Lake, medallion architecture (bronze/silver/gold layers)
  • ETL Pipeline Design: Processing 566+ million records monthly with comprehensive audit trails
  • Data Lake Architecture: Implementing modern data platforms on Alibaba Cloud (air-gapped environments)
  • Change Data Capture: SCD Type 2 implementations for historical tracking
  • Data Quality: Validation frameworks, data reconciliation, error handling at scale
  • Technologies: PySpark, Pandas, Polars, distributed computing across multiple VMs

Data Analytics

  • Credit Bureau Analytics: Large-scale credit data processing and reporting
  • Business Intelligence: Transforming raw data into actionable insights
  • Data Modeling: Dimensional modeling, data warehouse design patterns
  • Analytics Infrastructure: Building silver/gold layer transformations for business consumption
  • Performance Optimization: Query tuning, data partitioning strategies, caching mechanisms

Technology Stack

Languages: PHP, Python, JavaScript, TypeScript, Go, SQL
Frameworks: Laravel, Node.js (Express, Fastify, NestJS), Go (Gin), Apache Spark
Data: Delta Lake, MySQL, PostgreSQL, Apache Iceberg (evaluating)
Cloud: Alibaba Cloud, Google Cloud (GCP), AWS, Docker, CI/CD pipelines
DevOps: nginx optimization, system architecture, air-gapped deployments
Tools: Git, Docker, Ollama, ETL orchestration


Recent Technical Highlights

  • Large-Scale Data Lake Implementation: Designed and deployed medallion architecture processing 1.4TB+ monthly using Apache Spark and Delta Lake
  • Complex System Integrations: Successfully integrated Malta Government Payment Gateway with Zoho Books and MS Dynamics 365
  • ETL Pipeline Excellence: Built comprehensive data pipelines with detailed audit trails, validation frameworks, and SCD Type 2 handling
  • Performance at Scale: Optimized parallel processing operations across multiple VMs for credit bureau data workflows
  • AI Development Tools: Exploring AI-powered code review assistants and RAG systems for team productivity

Let's Connect

I'm always interested in discussing:

  • Large-scale data engineering challenges
  • Engineering leadership and team building
  • AI integration in development workflows
  • Fintech and regulatory compliance solutions
  • System architecture and optimization

Building systems that scale, leading teams that deliver.

You can check my profile at LinkedIn and my personal website.

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