Scalable Data Architecture Expert with 20 years of experience, trusted by Databricks, dbt Labs, T-Mobile, and Fortune 500 companies worldwide. As a Principal Solutions Architect at Databricks, I designed and delivered some of the company's earliest and most strategic engagements. I help organizations build cloud-native data platforms, modernize their architectures, and enable their teams to operate at scale.
Architecture, design, and training to help your team build and scale data platforms. Available as a freelance architect or with a team of contractors.
Platform architecture, Lakehouse design, workspace strategy, and implementation. Delivering solutions-architecture projects since 2016.
Architecture review, performance optimization, and pipeline design for large-scale data processing. Active in the Spark ecosystem since 2014.
End-to-end architecture design. Data Lakes, Lakehouses, cloud migration strategy, and platform evaluation.
Architecture and evaluation of AI systems, MLOps, and LLMOps platforms.
AI agent architecture, MCP development, and LLM-powered application design.
Teaching your team to architect, build, and scale data systems independently.
Every training is fully hands-on, with a dedicated training environment provided. Can also be delivered on your own infrastructure. Available on-site or fully remote.
A comprehensive introduction to Apache Spark on Databricks, covering everything from DataFrames and SQL to Structured Streaming and performance optimization. Aligned with the Databricks Spark Programming certification.
Learn to manage the complete ML lifecycle — from experiment tracking and model registry to deployment and production monitoring. Includes hands-on coverage of LLM evaluation with MLflow.
A comprehensive, hands-on deep dive into dbt covering the full development lifecycle — from models and testing to macros, documentation, and the latest dbt Fusion tooling.
A practical, hands-on course on cloud computing fundamentals and AWS services for data engineering. Covers networking, compute, storage, serverless architectures, and building data lake solutions with real-world exercises.
Build AI agents from scratch using the OpenAI Agents SDK, integrate them with external tools via the Model Context Protocol (MCP), and orchestrate multi-agent systems for production use cases.
Selected consulting, architecture, and training clients.
Detailed profile and references available upon request.
Select testimonials from recent engagements.
“Zoltan provided educational services to dbt learners. During the project, he was very professional, making it very easy to work with him, as I was able to provide feedback to his plans which he incorporated very well, and he delivered high quality work. I am looking forward to working with Zoltan on our next project together!”
“I worked with Zoltan to deliver a tailored dbt course at my company — I found him easy to work with and collaborate with and very knowledgeable about industry standards. I would recommend Zoltan for any training engagements.”
“I really enjoyed collaborating with Zoltan to create a data stack from the ground up. He was committed to finding the best solution that aligned with the project's needs and the company's workflow. The execution not only met but exceeded our expectations, and the handover process was smooth and comprehensive.”
“Working with Zoltan on our AI project was a fantastic experience. He expertly handled the LLMOps architecture, guiding us from requirements analysis through PoC to full implementation. Zoltan stands out not only for his technical skills but for his focus on business impact, consistently suggesting ways to create more value. His unique blend of AI expertise and strategic thinking makes him an exceptional asset to any team.”
“Zoltan helped us professionalize our data engineering landscape. He did so not only by contributing excellent code, but by actively teaching our teams and enabling them to achieve the same quality themselves. In addition, he also had the bigger picture in mind, helping us also with topics not related to the initial engagement description.”
“Zoltan helped us successfully pilot and deploy dbt at Alfa VIG Hungary that has been an integral part of our transform pipelines ever since. His expertise and experience in solving complex data engineering challenges was pivotal in the project just as much as his dedication to fully understand the client’s needs and fit the solution to the agreed requirements. I highly and honestly recommend Zoltan for any data and AI engineering projects independent of industry and company size.”
“I had the pleasure of collaborating with Zoltan on the creation of a cutting-edge Data Platform at Schneider Electric. His expertise on Databricks and on data and AI projects was invaluable in structuring the project during its early stages and providing meaningful insights on the technology. I highly recommend Zoltan for his exceptional skills and dedication.”
“Zoltan helped us build our cloud infrastructure and automation for ML models. After discussing our plan, he suggested improvements, explained tradeoffs, and recommended optimal solutions. He built the system skeleton, focusing on complex parts, and documented everything thoroughly. His work gave us a flexible, high-performing system. He is fast, precise, and a true expert in ML, cloud, and system design.”
“Zoltan was so helpful when we asked for his support on our Data & AI project at Schneider-Electric. His expertise in data engineering and data science in a cloud context helped us accelerate and set up sustainable solutions. His strong soft skills in communication and his ability to transfer knowledge allowed our team to fully take over the evolutions and operations of what he built. Would love to have him as a permanent member of our organization.”
For a complete list of reviews, visit my LinkedIn Services Page.