Eddy Wong

Data & AI Engineer at Effectory

Amsterdam, North Holland, Netherlands

About

Data & AI Engineer with experience delivering scalable data platforms, automated pipelines, and analytics solutions on Azure. I specialize in building data ecosystems that combine engineering, governance, automation, and applied AI. Currently integrating MCP‑based automation and RAG architectures into enterprise data workflows—improving knowledge retrieval, summarization, and operational efficiency using Azure OpenAI and vector-based search. What I build • Data warehouses, benchmarking platforms & governed data models • Automated pipelines (ETL/ELT), metadata frameworks, and integration workflows • AI-driven summarization and retrieval systems (RAG + embeddings) • Dashboards, analytical reporting & self-service BI platforms Tech Stack Azure (ADF, ADLS, Databricks, Functions, Purview, Logic Apps, Service Bus) • SQL Server & T‑SQL • SSIS • Power BI • Python • YAML (DevOps pipelines) • Bicep (IaC) • Azure DevOps Focus Areas • Data Engineering & Automation • AI/LLM Integrations (Azure OpenAI, RAG, MCP tooling) • Cloud Architecture on Azure • Data Governance & Observability

Experience

  • Data Engineer at Effectory

  • Data & AI Engineer at Effectory

  • Project Engineer at Xerox (Unamic/HCN)

    • Develop data delivery solutions • Assist project management team and prepare reports for all business requirements • Improve reporting process

  • Technical Team Lead at Effectory

  • Team Supervisor at Xerox (Unamic/HCN)

    • Meet with the required service level components and quality of helpdesk support • Compiling reports on team’s performance and customer feedback • Mentor teammates