Tomislav Hlupić
Principal consultant at Solvership
Zagreb, Croatia
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I work as a principal consultant at Solvership since 2016, with experience in various industries (banking, retail / wholesale, insurance...). My primary technology stack is Microsoft SQL Server & Azure with some experience in Big Data tools. Besides the consulting work, I was a senior lecturer at University Algebra in Zagreb from 2018 till 2026 and currently work as external associate at Faculty of electrical engineering and computing in Zagreb since 2020.
I have defended my PhD thesis in 2022 at Faculty of electrical engineering and computing and an MBA degree at University Algebra (under programme of IU's Kelley School of Business) in 2025. In the free time I have left I try to run some races , occasionally play retro video games and try to add as much home automation as possible
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Enterprise data engineering in Fabric: from Medallion to metadata-driven automation
Design it – build it – run it! Welcome to a full-day journey through enterprise data engineering in Microsoft Fabric—where architecture meets real implementation.
This workshop will take you beyond isolated features and into the real-world design of an enterprise-grade data platform that Microsoft Fabric has evolved into. Throughout the workshop, we won’t focus on individual tools, but on building a cohesive architecture by connecting ingestion, transformation, orchestration, and monitoring into a unified analytics solution.
The workshop starts with conceptual basics - introducing the Medallion architecture and its implementation in Fabric, from bronze to silver to curated gold warehouse models. During this part of the workshop, we will define which artifacts belong to each part of the architecture, ensuring not only an understanding of how things work - but also why they are designed this way in an enterprise environment.
Next, we move into practical implementation patterns by demonstrating how to build metadata-driven pipelines and a supporting metadata database, transforming static pipelines into scalable, reusable ingestion engines.
And once our ingestion engine is up and running, it is time for the Fabric to shine with different data loading strategies into the warehouse. We are going to look at how notebooks and lakehouses bring flexibility, check the pipelines and warehouse for structured orchestration, and see how the newer approaches with Airflow and dbt fit this story. The goal of this is not to find one solution but to show when and why each approach is a good idea.
The last part of the workshop is about operations and monitoring. We will show how Fabric-native capabilities track the pipeline execution and overall system health, allowing you to make the whole solution production-ready.
Design in, build it, run it – your ultimate blueprint for enterprise Fabric engineering
Welcome to the ultimate double-feature on enterprise data engineering in Microsoft Fabric. We aren't here for the basic UI wizards, going once again what a Lakehouse is, or to build static, hardcoded pipelines that break the moment a schema changes - this session is about moving past the common pitfalls into building a scalable, resilient, production-ready data platform.
In a half of a day we will take you on a journey from planning the architecture of the data system to using automation that is based on the information you have - and finally to running you data system like a big company would using enterprise-grade operations.
We start by dissecting the Medallion architecture through a strict enterprise lens. We'll debate the real-world trade-offs between Lakehouses and Warehouses, structure workspace boundaries, and map out where your data actually belongs. Then, we build the crown jewel: a fully metadata-driven ingestion engine. You will learn how to design a control database and use parameterized Fabric pipelines to transform static data loading into a reusable, dynamic framework capable of handling hundreds of tables without lifting a finger.
With the data flowing, we shift gears into advanced transformations and platform stability. We will explore how to efficiently process data from Silver to Gold, optimizing Delta tables using V-Order and notebooks while managing complex orchestration dependencies. Finally, we make it production-ready. You will learn how to tap into Fabric’s monitoring capabilities, build centralized alerting frameworks for when things inevitably go wrong, and implement Git-integrated CI/CD deployment workflows.
So… my client just bought Fabric capacity. Now what?!
Welcome to wild world of Microsoft Fabric—where cloudy buzzwords, massive dreams, and even greater expectations meet! Perhaps your client has heard Fabric can save them money. Perhaps they just want to be hip and hop on the newest tech. Or perhaps they’re moving from legacy Azure services and heard that Fabric is the new buzz.
Regardless of how they arrived, the question is: Now what?
Whether you are the one deploying the solution or your company is the one owning that brand new Fabric capacity, this session is your beginning. We will demystify what services you may actually want, how to select a suitable architecture, what integration makes sense, and help you drive down the sometimes murky road ahead.
Don't worry - this is not theory.We're going to use actual examples from recent projects to demonstrate how these decisions actually work out in practice (spoiler: surprises are in store).
If you've ever found yourself gazing at Fabric unsure of where to start, this session can be your guide map and compass.
Degrees, Diplomas or Digital Badges – ways to formalize your education
Did you ever get to the point in the career when you start wondering what could be a next good step in the formal education? Did you wonder which of those choices would suit you best? Then look no further – in this session, I will provide you the view of three different, but quite common, career paths: PhD, MBA and Microsoft certifications from my own experience.
Each of those options can offer open a different door, create a unique opportunity and navigate your career in whole other way. I will share the pros, cons, surprises and setbacks for each of them, and offer practical tips to help you decide what would make most sense for you – whether you want to chase technical mastery, eye the management boardroom or just want to show your shiny new digital badge on LinkedIn.
What you can expect is the real talk without any sugarcoating, getting answers to the questions from the real trenches, finding ways to prevent overworking or burnout through that period – and help to start thinking about where to go next. Who knows – maybe this will be the final nudge to get you back to the student life.
From local to cloud ninja: helping data teams touch the sky
For teams that have spent years building rock-solid on-prem solutions, the leap to the cloud can seem like being deposited into a different galaxy altogether. Suddenly, just knowing SQL ans SSIS isn't gonna do it anymore — you need to enlarge your toolbelt with Python, a decent understanding of computer networking and to keep from rolling a whole underlying cloud ecosystem.
In this session we will unpack what it really takes to convert traditional data teams into cloud-savvy superheroes through covering real-world examples, lessons learned (some the hard way), and best practices that can help your team not only survive, but thrive in a cloud-first world. And expect practical tips, there will be real stories from the trenches you will definitely relate to.
Building smarter pipelines with metadata and a dash of Fabric
Remember the good ol' days of SSIS and execution frameworks? That kind of orchestration magic deserves a fresh spin in the cloud era — and no, it's not just a lift-and-shift. In this session, we'll explore how to reimagine metadata-driven execution in a truly modern, cloud-native, asynchronous way. We'll cover the quirks of async runs, how to wrangle logs, and the cloud-specific gotchas you will encounter.
But it’s not all challenges — we’ve got some new toys, too! Microsoft Fabric brings smarter, more flexible framework possibilities with less headache and way more automation. We'll build a solution from the ground up, walking through architecture, dynamic execution strategies, and the essential components to keep your pipelines humming.
Whether you are using Azure Data Factory, Synapse Pipelines, Fabric Data Factory, or even eyeing tools like dbt, this session will give you a framework that adapts across tools and keeps pace with the modern data stack.
Airflow & dbt: The hipsters of data integration meet Azure
Having been the indie darlings of the data space, Airflow and dbt have become mainstream - particularly in cloud environments where scalability and flexibility are king. They're revolutionizing the way we construct data pipelines with their fresh approach to orchestration and transformation, presenting a thrilling alternative to the legacy tools most of us are accustomed to.
Now that Microsoft has acquired these new bright stars to include in its cloud ecosystem, there's an entirely new toolbox to tap into - without ever having to leave the confines of your existing stack. During this session, we will meet the dynamic duo of Airflow and dbt in Azure, see how they measure up to Microsoft Fabric pipelines, and review the pros and cons of each strategy. No matter if you're a seasoned coder or just exploring the cloud, you'll know a lot clearer where these tools play a role in your data adventure.
Maps, Data, Action! Ways to work with geospatial data in Azure
If you are into spatial data, then you are in luck! From storing geospatial data in Azure to running blazing-fast ArcGIS analytics right inside Microsoft Fabric - this session is your map to the future of location intelligence in the cloud.
We’ll explore the new public preview of ArcGIS integration in Microsoft Fabric Spark, where data engineers and GIS experts can run powerful spatial joins, buffers, and enrichments natively in Fabric Notebooks - without needing to jump between platforms.
But wait, there's more! We’ll also show you how to store and query geospatial data efficiently using different Azure services, Understand spatial indexing, geohashing, and KQL magic for ultra-fast querying and combine the best of Azure Maps, ArcGIS, and Fabric into one seamless spatial analytics workflow
Whether you’re tracking delivery routes, analyzing weather patterns, or just trying to make cooler dashboards, this session will show you how Azure and Fabric are turning geospatial data into actionable insights - at scale.
Data Saturday Gothenburg Sessionize Event Upcoming
Data Saturday Rheinland 2026 Sessionize Event Upcoming
dataMinds.be User Group
Airflow & dbt: The hipsters of data integration meet Azure
SQL Konferenz 2026 Sessionize Event
Cloud Tech Tallinn 2026 Sessionize Event
PASS Data Community Summit 2025
Building Smarter Pipelines With Metadata And A Dash Of Fabric
SQL Server User Group Croatia
Building Smarter Pipelines With Metadata And A Dash Of Fabric
Above Clouds 12/2024
Lift&Shift your on-premises data teams to the cloud
Tomislav Hlupić
Principal consultant at Solvership
Zagreb, Croatia
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