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Speaker

Samantha Cruz

Samantha Cruz

Data Engineering Team Lead @isolutions AG

Barcelona, Spain

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I'm a Data Engineering Team Lead at isolutions Barcelona. I lead the design, delivery, and operation of end-to-end data platforms across Azure, Microsoft Fabric, and Databricks, with a strong focus on scalability, governance, and production reliability.

I manage and mentor the data engineering team, define platform architecture standards, and work closely with stakeholders to translate complex business requirements into robust data solutions. In addition to hands-on technical leadership, I am an active speaker and educator, focused on sharing practical, experience-driven insights from real data platform implementations.

Area of Expertise

  • Information & Communications Technology

Topics

  • Data Engineering
  • Azure Data & AI
  • All things data
  • Databricks
  • Data Warehousing
  • Data Management
  • Microsoft Data Platform
  • Artificial Intelligence
  • Copilot
  • Microsoft Fabric
  • Power BI / Fabric
  • Agentic AI
  • Chatbots

Designing and Operationalizing Data Agents within Microsoft Fabric

This session explains how Data Agents function inside Microsoft Fabric and how they support data connectivity, orchestration, and automated actions. You will see the main building blocks that enable these agents and walk through a practical setup of an agent in Fabric. We will also make a detailed comparison between Fabric Data Agents and other comparable tools, outlining similarities, differences, and where each option is most suitable.

AI in the Data Platform: Genie vs Fabric Data Agents in Real Architectures

Most data teams already run a Lakehouse. The harder problem now is deciding how far AI should be embedded into the data platform itself, and what that means for governance, ownership, and operational complexity. Two tools are gaining attention in this subject: Databricks Genie and Microsoft Fabric Data Agents.

This session looks at Genie and Fabric Data Agents as platform-level design choices. Both promise natural language access and AI-driven interactions with data, but they rely on very different assumptions about metadata, semantic enforcement, and control boundaries. Those assumptions matter once teams operate multiple domains, shared Lakehouses, and strict governance requirements.

Using real architectural patterns, we examine how each approach fits into a production data platform built on Lakehouse principles. We discuss where AI logic lives, how trust in results is established, what breaks at scale, and how these tools interact with lineage, security models, and DataOps workflows. The comparison focuses on consequences, not capabilities.

The goal is to help data engineers and platform architects make informed decisions about embedding AI into the core of their data platform, understanding the trade-offs before these tools become foundational dependencies.

Integrando Dataverse y Microsoft Fabric

Esta sesión se centra en cómo Microsoft Dataverse se integra con Microsoft Fabric y qué se puede hacer con esta integración.
Se explicará cómo los datos de Dataverse se exponen en Fabric, cómo pueden consultarse y combinarse con otras fuentes de datos, y cómo esto habilita escenarios de analítica y reporting.
La sesión incluye demostraciones prácticas de casos de uso y flujos de trabajo habituales.

Gobernanza de Datos en Fabric: Lineage de Datos con Purview

En este proyecto se implementó una solución para registrar la trazabilidad de datos (data lineage) en Microsoft Purview desde notebooks de Spark en Microsoft Fabric. Automatizamos el registro de activos y procesos que ocurren dentro del Lakehouse, para que se pueda visualizar cómo los datos fluyen entre tablas y transformaciones.

Se utilizó la librería PyApacheAtlas, que permite interactuar con el catálogo de datos de Purview mediante el API de Atlas. A través de una función desarrollada en Python, se crean entidades que representan las tablas (por ejemplo, las capas Bronze, Silver y Gold), y también los procesos que conectan estas tablas, como ingestiones, transformaciones o fusiones de datos. Cada elemento queda registrado con su nombre, ubicación y descripción, y puede visualizarse luego en la vista de "lineage" de Purview.

Toda la autenticación se maneja mediante un Service Principal configurado en Key Vault, permitiendo que la solución funcione de forma segura dentro del entorno de Fabric.

Esta solución mejora la visibilidad, facilita auditorías y fortalece la gobernanza de los datos.

A modo de cierre, se presetarán posibles líneas de evolución para esta solución, como la integración de OpenLineage para capturar automáticamente la trazabilidad durante la ejecución de los notebooks.

AI-Powered Multilingual Reports with Azure AI and Semantic Link Labs

Creating Power BI reports for multilingual audiences can become complex and repetitive. This session presents a scalable and automated approach to building dynamic, multi-language reports using Azure AI Translator and Semantic Link Labs.

Semantic Link Labs will be used to translate metadata elements such as table names, column labels, and measure descriptions directly within the Power BI semantic model. Meanwhile, Azure AI Translator will process and translate the content inside tables, for example, values in dimension tables that need to appear in multiple languages in slicers or visuals.

Topics covered will include:

- Translating model metadata using Semantic Link Labs
- Translating table content dynamically with Azure AI Translator
- Enabling language switching based on browser locale or URL parameters
- Avoiding duplicated reports and reducing maintenance effort
- Deployment and automation strategies for multilingual scenarios

This session is ideal for data teams building Power BI reports for international users, or organizations looking to streamline multilingual reporting without duplicating content.

Deploy Your Microsoft Fabric Architecture with CI/CD in 10 Minutes

This session explores how to deploy a complete Microsoft Fabric architecture using Terraform and Azure DevOps.

The focus is on applying infrastructure as code (IaC) principles to data architecture, making every environment setup consistent, repeatable, scalable, and fast.

We start by introducing the structure of a Microsoft Fabric deployment, including capacities, workspaces, and associated resources. Then we look at how to model this architecture using Terraform, leveraging the Fabric provider to define Fabric-specific resources.

The Terraform code is modular and designed to be reused across different environments. By defining variables for project names, environment tags, and other settings, the same code can be used to deploy dev, test, and prod setups with minimal changes.

We configure Azure DevOps to run the Terraform code through multi-stage pipelines. These infra-structure pipelines handle validation, plan, apply, and include optional manual approval gates for production stages.

The full CI/CD flow ensures that deployments are automated, controlled, and aligned with best practices for managing infrastructure in enterprise environments.

A live demonstration shows the end-to-end process: cloning the code, updating variables, triggering the pipeline, and deploying the Microsoft Fabric components in Azure.

This approach allows data teams to treat infrastructure as code, integrate it into version control, and reduce the time and risk involved in setting up Azure and Fabric objects manually.

AgentCamp Barcelona 2026 Sessionize Event

March 2026 Barcelona, Spain

Global Power Platform Bootcamp Barcelona 2026 Sessionize Event

February 2026 Barcelona, Spain

Power BI & Fabric Barcelona (Powered By Xarxa Telecos) User group Sessionize Event

January 2026 Barcelona, Spain

How Do I fIT in? Women’s Journeys in Tech: from First Steps to Leadership.

This event was a special edition of the Isolutions Tech Meetup series focused on open and practical discussions about building a career in technology as a woman. It brought together women from different backgrounds, roles, and seniority levels to share real experiences, key career decisions, and lessons learned, creating a supportive space for knowledge exchange, inspiration, and professional networking. I participated as a panelist, sharing my own career journey in tech, including technical growth, challenges, and decision making along the way. During the panel discussion and the audience Q and A, I contributed practical insights and concrete examples, and I also engaged with participants during the networking moments, exchanging perspectives with women at different stages of their careers.

October 2025 Barcelona, Spain

Bizz Summit ES 2025 Sessionize Event

October 2025 Madrid, Spain

Power BI & Fabric Barcelona (Powered By isolutions) User group Sessionize Event

July 2025 Barcelona, Spain

Power BI & Fabric Summer Fest Barcelona Sessionize Event

June 2025 Barcelona, Spain

Global Azure Barcelona Sessionize Event

May 2025 Barcelona, Spain

Samantha Cruz

Data Engineering Team Lead @isolutions AG

Barcelona, Spain

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