Data Engineering
Good analytics and AI start with reliable data. We design and build lakehouses and pipelines that ingest, clean, model and serve data with governance, quality checks and automation built in.
From raw sources to business-ready data
Data lands in Bronze, is cleaned in Silver and served from Gold, with quality checks at every step and orchestration that tells you when something breaks.
Illustrative example
How we can help
- Lakehouse and data-platform architecture
- Batch and event-driven ingestion from databases, files and APIs
- Bronze / Silver / Gold medallion modelling and dimensional models
- Orchestration with Airflow, Data Factory or Databricks Workflows
- Data quality, lineage, governance and access control
- Dashboards and self-service BI on top of trusted data
Often combined with
AI & Machine Learning
Practical AI that reaches production: LLM assistants and agents, retrieval over your own documents, predictive models and the MLOps to keep them reliable.
Learn moreMicrosoft Azure
Azure end to end: Microsoft Fabric and Databricks data platforms, data governance, AKS and CI/CD, and AI with data agents and Copilot.
Learn moreAmazon Web Services
Well-architected AWS environments: migrations, serverless and container workloads, and data platforms on S3, Glue and EMR.
Learn moreLet's build something reliable
Tell us about your project. The first consultation is free.