01
Data Platforms
Data warehouses, data lakes and lakehouses. Platforms with robust data models and clear governance.
01 / Expertise
Technical depth.
From architecture
to code.
We bring architectural judgement and hands-on implementation together.
02
Cloud & Architecture
Target architectures and informed technology decisions. Cloud-first, independent of any platform provider.
03
Data Engineering & Automation
Integrate data sources, build pipelines and automate workflows. With Python, SQL and APIs.
04
Data Intelligence
Semantic models, BI and machine learning. RAG where the data and use case support it.
Cloud-first. Cloud-agnostic.
AWS / Azure & Fabric / Snowflake / sovereign and alternative platforms
02 / Selected Work
Architecture in practice.
Energy Systems Management
AWS · SageMaker · Data Warehouse
Designing an AWS-based data lake architecture, including its layers and dataset structure. Connecting the data lake and data warehouse through SageMaker for energy-sector use cases.
Grid Operations & Data Platform
Azure · Microsoft Fabric · Semantic Models
Integrating and harmonising heterogeneous data sources and developing semantic data models. Advising on the future platform architecture and evaluating Azure, Fabric and AWS approaches.
FinTech Data Platform
Azure · Snowflake · Microsoft Fabric
Building a scalable, serverless data platform for a German FinTech startup — from API-based ingestion and a data lake to an internal lakehouse architecture in Microsoft Fabric and datasets delivered to external users through Snowflake.
Selected project experience / anonymised
03 / Our Approach
One team. From understanding to delivery.
01
Understand.
Clarify the context and goals. Understand the data landscape, requirements and priorities.
02
Architect.
Define the target architecture and key decisions. Develop a practical path to implementation.
03
Enable.
Build the foundations. Bring teams, data models and technical structures together.
04
Deliver.
Implement the solution. Verify quality and prepare the handover to operations.
04 / Quality
ISO 9001:2015
Certified quality management
Consulting, design and implementation of data architectures, data platforms and data-driven applications.
View certificate05 / Team
The people shaping your platform.
Dominik Rziha
Principal Data Architect
Dominik designs data platforms for regulated environments. He focuses on architectures shaped by KPIs and governance.
Lewin Schaudt
Senior Data Engineer
Lewin builds data pipelines and orchestrates workflows. He focuses on scalable backend and integration architectures.
06 / Contact
What should your data platform deliver?
Let’s talk about your project.