An overview of our services

We ensure a stable data flow

  • Data Pipelines & Ingestion: Development of automated interfaces for extracting and loading data from marketing, sales, finance and operational systems.

  • Cloud Data Warehouse Integration: Integration of central target systems such as Google BigQuery or Microsoft Fabric as a consolidated data source for analytics, BI and AI.

  • ELT/ETL Development: Preparation and structuring of raw data for further processing – as a basis for data modelling, reporting and advanced analytics.

  • API & System Integration: Integration of SaaS tools, databases and third-party systems via REST or GraphQL APIs, as well as secure connections to on-premise systems.

  • Migration & Archiving: Secure transfer of historical data during system changes or architectural modernisations – including validation and reconciliation.

When is it worth investing in professional data engineering?

The need often arises when simple solutions can no longer be scaled up:

  • High manual workload: time is spent on data exports, preparation and troubleshooting rather than on analysis

  • Delayed reporting: Dashboards are not up to date because data is available too late or is unreliable.

  • Lack of an overall view: Data from marketing, sales and operations cannot be consistently linked.

  • Reliance on individuals: Complex scripts or macros are not documented or maintainable.

How we work

We follow modern software engineering principles.

ELT-first, cloud-native
We capture data where it is generated – via APIs, files or databases – and load it in a structured format into the cloud data warehouse.

The actual transformation takes place centrally on the platform. This ensures that raw data is preserved, logic is traceable, and adjustments can be made retrospectively.

 

Automation & stability
We rely on robust, cloud-native orchestration to deliver data reliably and predictably.

The aim is a stable data flow – independent of individual people or manual intervention.

 

Operation, Monitoring & Reliability
Data pipelines are monitored. Errors, delays or outages are detected at an early stage.

Together, we define responsibilities and response times so that problems are resolved before they become apparent in reporting.

What do you end up with?

  • Running data pipelines: Automated jobs that reliably update your data.

  • Centralised data repository: A cloud data warehouse that brings together all relevant data sources.

  • Transparency regarding data structures: Documentation of available tables, fields and data sources

  • Monitoring & stability: Early warning systems for interface issues and loading errors.

Frequently Asked Questions (FAQ)

Where is my data stored? In the cloud environment you have chosen. We take data residency requirements into account (e.g. Switzerland or the EU).

ELT or ETL – which is the best option? For modern cloud platforms, we primarily use ELT, as it is more flexible and scalable. ETL is used where it makes business or technical sense.

Can on-premises systems also be connected? Yes. Local ERP or specialist systems can also be reliably integrated via secure connections.