Service
Data Integration & Engineering
Pipelines, lakes and warehouses that turn scattered data into reports people trust.
The problem
When every department exports its own spreadsheets, nobody agrees on the numbers. A well-designed data platform ends the argument.
What we build
- ETL and ELT pipelines with Azure Data Factory
- Data lakes with medallion (bronze/silver/gold) architecture
- Databricks and Spark processing
- Warehouses on Snowflake, Azure SQL or PostgreSQL
- Data quality checks, lineage and scheduling
Who it is for
- Companies with data in many systems and no single view
- Organizations preparing data for AI and analytics
- Teams tired of manual report building
Typical examples
Large-scale public-health data lake
Ingested large data sets into Azure Data Lake using a medallion architecture with Data Factory, Databricks and Python.
Related solutions
Problems this service solves
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Often combined with
Custom Software Development
Business applications, APIs and portals built for how your company actually works.
Learn moreSystem & API Integrations
Connect ERP, CRM, e-commerce, accounting and third-party APIs so data flows without re-typing.
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Practical AI features and workflow agents that remove repetitive work from your team.
Learn moreReady to talk about data integration & engineering?
Tell us what you need. You get a reply from an engineer within one business day, with clarifying questions or a proposed time for a short call. No sales pitch.