I’m a Data Engineer with 5+ years of experience delivering data platforms and analytics systems across multiple business domains.

My work spans cloud architecture on Azure, end-to-end data engineering pipelines, and LLM-integrated AI applications. I am interested in system design, data quality, and building things that scale.

My work sits at the intersection of data engineering, AI, and product thinking:

• Building scalable pipelines and analytics systems
• Designing data models that support real-world decision making
• Applying AI (RAG, LLMs, knowledge graphs) to solve practical business problems

• Python
• SQL
• JavaScript (Frontend + Backend)
• HTML / CSS

• ETL / ELT Pipeline Design
• Data Modeling (Analytics / Warehouse)
• Data Quality & Validation
• Retrieval-Augmented Generation (RAG)
• LLM Application Development

• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• Azure Data Lake

• Microsoft Fabric

• Node.js
• Firebase
• Next.js
• React

• Azure Solutions Architect Expert
• Fabric Analytics Engineer Associate
• Azure Administrator Associate
• Azure Developer Associate
• Azure Security Engineer Associate
• Azure Data Engineer Associate
• Azure Fundamentals

• Magnificent-7 Financial Analyst AI-powered financial analysis chatbot demonstrating RAG with hybrid search

• Discovering F1 GraphRAG AI-powered app designed to showcase GraphRAG (Graph Retrieval-Augmented Generation) and Hybrid Search capabilities.

• RLS AI Chat Implementing Row Level Security on an AI Agent with SQL RAG.

• YoloV5 Palm Crown Detection Contains project files for the YoloV5 image detection model to detect the top or 'crown' of oil palm trees.

• Inventory Management System Imaginary Travel Store that is out of this world!

• React Collaborative Whiteboard Sockets Collaborative Whiteboard App using React, Socket IO and Node JS. Try with a friend or using 2 separate browsers!

I share my thoughts on:

• Building real-world AI systems

• Data engineering best practices

• Azure Cost Governance Playbook A lightweight framework / playbook for managing costs on Azure cloud.

• Applying AI to real-world data problems (not just prototypes)
• Building systems that bridge data → insight → decision
• Moving toward more product-facing and client-impact roles

If you're working on data platforms, AI applications, or analytics systems—I'd love to connect.