Alexander Turlov
Senior consultant | Data, Cloud, and App solutions
Toronto, Canada
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Alexander is a professional consultant, specializing in cloud and data architecture and Microsoft Fabric solutions. He helps organizations design scalable data platforms and integrate modern tools like GitHub Copilot and VS Code to accelerate development workflows. Alexander is a certified Microsoft Fabric Data Engineer and an active community contributor, sharing practical insights through presentations and workshops on AI-assisted data engineering and analytics.
Area of Expertise
Topics
Designing Data-Centric App Backends with Microsoft Fabric: Unified, Serverless, AI-Ready
Modern applications - whether enterprise, LOB, or web - need more than a transactional database - they demand analytics, serverless logic, and AI-driven experiences. Traditionally, this means stitching together multiple services, adding complexity and cost.
Microsoft Fabric changes the game. It offers a unified SaaS platform that simplifies backend design by combining relational and NoSQL databases, serverless logic via User Defined Functions, and built-in AI capabilities—all accessible through familiar endpoints and URL-based APIs.
In this session, we’ll:
Outline a modern backend architecture for data-driven and AI-enabled apps.
Map Fabric features to each component, showing how they reduce complexity.
Walk through a live demo of a simple but fully functional web application powered by a real Fabric backend.
If you’re an architect or developer looking to streamline backend design and unlock AI capabilities without managing infrastructure, this session is for you.
SQL in Microsoft Fabric: A Unified Approach to Data Engineering, Modeling, and Intelligence
In this session, we’ll explore how SQL remains a foundational language across Fabric workloads—from Lakehouse and Warehouse querying to transformation, modeling, and orchestration. Whether you're a data engineer, analyst, or BI developer, you'll discover how your SQL skills translate into Fabric’s new paradigms, including Delta Lake, shortcuts, semantic models, and pipeline automation.
From Chaos to Control: Implementing CI/CD and DevOps in Microsoft Fabric
Discover how to bring DevOps best practices to Microsoft Fabric using Git integration and CI/CD pipelines. This session covers workspace versioning, automated deployments, and environment management—plus a live demo of a real-world pipeline in action. Ideal for data engineers, BI developers, and architects looking to streamline Fabric operations.
Lifecycle management and DevOps in Microsoft Fabric
Overview of lifecycle management approach and specific DevOps capabilities and tools in Microsoft Fabric. Live demo of configuring a Microsoft Fabric project with multiple workspaces, Git integration and automated deployment pipeline.
Implementing Medallion Architecture with Microsoft Fabric
The Medallion architecture is a widely adopted pattern for building scalable and maintainable data platforms, and Microsoft Fabric provides a natural foundation for implementing it in a modern, unified way. This session looks at how the bronze, silver, and gold layers map to Fabric’s core concepts and why the platform’s design makes the Medallion approach practical rather than theoretical.
In this session, we will:
- Outline a reference Medallion architecture in Microsoft Fabric
- Walk through a live, end‑to‑end implementation across bronze, silver, and gold layers
- Show how Fabric artifacts fit into each layer and support data engineering and analytics workflows
This session is intended for data engineers working with Microsoft Fabric who want to apply Medallion architecture in real projects. If you’re looking for practical patterns, realistic design guidance, and a clear way to structure Fabric workloads end to end, this session will help you turn the Medallion concept into an implementable design.
Building an MCP Server for Microsoft Fabric in VS Code with Python
This session covers the essentials of MCP architecture, best practices for designing an MCP server tailored to Fabric APIs and SQL endpoints, and a live demo showing how to use the Fabric MCP server for accelerated data engineering workflows and conversational analytics. Perfect for developers and data engineers looking to combine AI-driven assistance with enterprise-scale data platforms.
Enterprise‑Grade DevOps for Microsoft Fabric
Modern Microsoft Fabric projects often start with built‑in Git integration and deployment pipelines—but at enterprise scale, those capabilities alone are rarely sufficient. As environments grow in size and complexity teams need more advanced tools and patterns to manage Fabric artifacts reliably across development, test, and production.
In this session, we will:
- Review common enterprise lifecycle challenges in Microsoft Fabric
- Introduce advanced DevOps tooling and automation patterns used to address them
- Walk through a realistic implementation pattern that shows how these tools fit together in practice
This session is designed for data and platform engineers and architects responsible for operating Microsoft Fabric in production. If you’re already using Git integration and deployment pipelines and are looking to extend them with more scalable, repeatable, and enterprise‑ready CI/CD practices, this session will help you understand when and how to go beyond the defaults.
From Data to Intelligence: How Fabric IQ Powers AI Agents
AI agents can help automation and insight - but without business context, they often fail. Enter Microsoft Fabric IQ, a new semantic intelligence layer that transforms Fabric from a data platform into an intelligence platform.
Fabric IQ organizes enterprise data around business concepts, not tables, creating a shared ontology of entities, relationships, and rules linked to real-time data in OneLake. This enables AI agents to reason, interpret, and act with accuracy, eliminating the semantic fragmentation that causes unreliable decisions.
In this session, we’ll:
- Explain what Fabric IQ is and why it matters for AI adoption.
- Show how its semantic layer powers agentic AI with examples.
- Demo how an AI agent uses Fabric IQ to answer complex business questions.
If you’re exploring AI agents or building intelligent apps, this session will show you how Fabric IQ provides the semantic foundation for trustworthy, context-aware automation.
Data Engineers in Toronto December 2025 Monthly Meeting
I presented a session "Building an MCP Server for Microsoft Fabric in VS Code with Python" where participants learned how to extend GitHub Copilot’s capabilities for Microsoft Fabric by creating a Model Context Protocol (MCP) server in VS Code using Python and the FastMCP library.
SQL Saturday Toronto 2025 Sessionize Event
VS Code Dev Night @ NorthTorontoUG
Delivered a session "Creating an MCP Server to Boost Microsoft Fabric Productivity in VS Code" during which attendees learned how GitHub Copilot can be extended to work directly with Microsoft Fabric by implementing a local MCS (Model Context Protocol) server in VS Code. While Copilot already excels at code generation, it lacks native awareness of Fabric’s REST APIs. This session demonstrates how a custom MCP server can bridge that gap, enabling Copilot to assist with Fabric-specific tasks all through natural language.
Data Engineers in Toronto User group Sessionize Event
VS Code Dev Days | Toronto
Delivered a session "Boost Fabric Engineering with GitHub Copilot in VS Code" during which attendees learned how to extend Microsoft Fabric engineering experience into VS Code with Fabric-specific extensions, and how to leverage GitHub Copilot for interactive data exploration and prompt-based SQL and PySpark development.
Global Azure Bootcamp 2025 – Greater Toronto Area Edition Sessionize Event
Global Azure 2025 at North Toronto Cloud & DevOps User Group
Delivered a session "Lifecycle Management and DevOps in Microsoft Fabric" during which participants learned how to implement DevOps best practices when working with Microsoft Fabric. We’ll discuss key lifecycle management concepts, including workspaces, CI/CD, version control, and deployment pipelines. Through a live demo, we’ll showcase how to configure a Fabric project with multiple workspaces, integrate it with an Azure DevOps Git repository, and set up an automated deployment pipeline.
Toronto Enterprise DevOps User Group
Delivered a session "Implementing DevOps for Microsoft Fabric" during which attendees learned how to implement DevOps best practices when working with Microsoft Fabric. We’ll cover key lifecycle management concepts, including workspaces, CI/CD, version control, and deployment pipelines. Through a live demo, we’ll showcase how to configure a Fabric project with multiple workspaces, integrate it with an Azure DevOps Git repository, and set up an automated deployment pipeline.
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