Azure Data Platforms · Databricks Lakehouse · AI Analytics

Modern data platforms on Azure and Databricks

Lakehouse architectures, real-time data pipelines, and enterprise BI delivered faster through AI-accelerated engineering.

Azure & Databricks Data Platform Services

Modern data platforms on Azure and Databricks - lakehouse architectures, real-time pipelines, and enterprise BI engineered for reliability and simplicity.

We design and build production-grade data platforms on Azure and Databricks. From lakehouse architectures and streaming pipelines to enterprise BI and AI on governed data - everything we implement is engineered to be reliable, maintainable, and ready for real-world use.

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Azure Data Platform Architecture

Design secure Azure data platforms for analytics and AI, including landing zones, storage, identity, networking, governance, and cost control across Azure Data Services, Synapse, Data Factory, and Microsoft Fabric.

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Databricks Lakehouse Engineering

Build Databricks lakehouse architectures with incremental pipelines, medallion models, data quality checks, and automated orchestration using Delta Lake, Auto Loader, Delta Live Tables, and Unity Catalog.

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Real-Time Data & Streaming

Implement streaming data pipelines for events, telemetry, and operational analytics using Event Hubs, Kafka, and Spark Structured Streaming to power near-real-time dashboards, alerts, and KPI monitoring.

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Power BI & Semantic Modeling

Deliver enterprise Power BI semantic models with performant DAX, governed metrics, row-level security, incremental refresh, and deployment pipelines for reliable self-service reporting at scale.

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Data Platform Modernization

Modernize legacy data and BI platforms by migrating workloads from SAP BW, Oracle, SSIS, SSAS, SSRS, and SQL Server into Azure, Fabric, and Databricks-based architectures.

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AI on Enterprise Data

Apply AI to governed enterprise data with RAG, vector search, Azure OpenAI, and MLflow to enable AI-assisted analytics, knowledge retrieval, and practical use cases with measurable business value.

Recent data platform projects

A selection of recent projects across streaming, lakehouse, modernization, and enterprise analytics.

Real-Time Streaming

Global streaming platform for manufacturing

Designed and implemented a global real-time data platform using Kafka, Spark Structured Streaming, and Databricks Delta Lakehouse, enabling sub-second data processing across manufacturing operations.

IoT & Machine Intelligence

Lambda architecture for connected machines

Built a machine intelligence platform combining Azure IoT, Kafka, streaming analytics, Databricks lakehouse pipelines, MLflow, and Power BI to process industrial data at scale.

Modernization

SAP BW to Databricks lakehouse

Replaced legacy SAP BW workloads with a modern Azure Databricks lakehouse using medallion architecture, DLT pipelines, and Power BI-based analytics.

Enterprise BI

Cloud reporting platform and report migration

Designed a cloud analytics platform and migrated more than 170 operational reports to Power BI Premium, improving scalability, maintainability, and reporting performance.

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AI on Enterprise Data Platforms

Apply AI to governed enterprise data to automate analysis, surface insights earlier, and enable natural language exploration of analytics.

Efficiency through automation

Embedded AI can automatically clean, classify and enrich your data during batch or stream processing.

Data exploration in plain language

NLP over your governed data assets enables true self-serve-data-analysis and increases NPS.

Continuous improvement

Permanent data monitoring detects anomalies and value drifts and improves forecast accuracy and SLAs.

Reliable governance - everywhere

AI-driven context-related data classification, permanent quality/rule mining, policy enforcement and creation of audit evidence.

Senior engineers. AI-accelerated execution.

A small team delivering data platforms at speed, scale, and production quality.

We are a small team of senior data platform engineers based in Germany. By combining deep hands-on expertise with AI-assisted engineering workflows, we deliver Azure and Databricks platforms significantly faster and with a higher level of consistency than traditional approaches.

Small team. Enterprise-scale execution.

This allows us to handle complex projects with the speed and efficiency of a much larger team - without the overhead, delays, or loss of quality that typically come with it. We focus on building systems that are ready for production: reliable, scalable, and aligned with how your teams actually work.

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AI-accelerated delivery

We use AI as a co-engineer to automate repetitive work and accelerate implementation.

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Execution at scale

We handle complex projects with the speed and consistency of a larger team.

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Production-ready systems

We build platforms that work in real environments - not just in architecture diagrams.

Discuss your data platform

Ready to make sense of your data?
Tell us about your challenges and we'll tell you how we can help - no pitch, no pressure.

Sandstr. 104, 40789 Monheim am Rhein