Data Engineer with 4+ years of experience building AI-powered automation systems and scalable data pipelines on Azure.
- Build agentic AI systems that automate complex business workflows end-to-end
- Design RAG pipelines using LangChain, Azure OpenAI, and Azure AI Search
- Create data pipelines on Azure Data Factory, Databricks, and Synapse
- Develop AI-powered document processing and extraction systems
AI & GenAI: Azure OpenAI · Azure AI Foundry · Copilot Studio · LangChain · RAG · Prompt Engineering · Bing Grounding
Cloud: Azure Data Factory · Databricks · Synapse · Azure Functions · Azure DevOps
Languages: Python · SQL · PySpark
Databases: Azure AI Search · Cosmos DB · PostgreSQL · SQL Server
Tools: Power BI · Git · REST APIs · Docker
🤖 Agentic AI Pipeline — Built an autonomous system using Azure OpenAI + Bing Grounding that processes 800+ business records, extracts advisor information from the web, and pushes to HubSpot CRM. Zero human intervention.
📄 AI Auto-Documentation — Automated technical documentation using Claude (via Azure AI Foundry). Reads ADF pipeline code, generates summaries, and updates Confluence pages every sprint. Implemented hashing for change detection.
📑 PDF Data Extraction Pipeline — End-to-end document intelligence pipeline using Azure Document Intelligence. Auto-triggers on SharePoint upload, extracts structured data, cleans with Python, loads to staging database.
✍️ LinkedIn Content Generator — Automated content pipeline that searches trending AI topics, generates posts via Claude API, refines with OpenAI, and auto-publishes to LinkedIn.
- 🏔️ Based in Calgary, Canada
- 🎓 Master's in Big Data Analytics from Trent University
- 💡 Passionate about AI, automation, and building systems that work while you sleep
- 🏋️ Outside of tech — fitness enthusiast and always exploring new places
- 🔨 I build stuff on weekends — check out my repos below