Service 01 — Data Engineering

High-Performance Data Pipelines. Accelerated by methodology. Secured by experience.

For over 13 years, we have been designing, optimizing, and migrating mission-critical enterprise data systems in regulated markets. We bring your data where it’s needed – flawlessly, modularly, and with minimal latency.

Focus Areas

Our Focus Areas in Data Engineering

Migration & Cloud Transition

We transition your data landscape from monolithic legacy systems (Oracle, MS Synapse, COBOL, SAS, SSIS) to high-performance, modern cloud platforms.

Target Platforms: Databricks (Delta Lake), Snowflake, Microsoft Fabric.
Advantages: Reduction of data load times (e.g., from 11 hours to under 45 minutes) and massive savings on cloud infrastructure costs (up to 30%).

Modern Data Orchestration

We automate and monitor your ETL/ELT processes with modern orchestration engines that enable clean CI/CD pipelines and continuous testing.

Technology Stack

[dbt (data build tool)]
[Apache Airflow]
[Dagster]
[Prefect]
[Python/PySpark]

Development of Custom Python Libraries

We eliminate repetitive tasks in daily developer operations. By designing and building tailored Python libraries, we automate data engineering tasks and drastically accelerate the time-to-market for new data products.

Schedule Consultation

Ready for the Cloud Transition?

From legacy analysis to a productive Lakehouse – we support you architecturally and operationally.

Schedule Consultation Explore Case Studies