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Data Foundation

Data engineering

Reliable, governed data pipelines that give your AI a foundation it can actually trust.

What you get

  • End-to-end pipeline design from every source system to your analytics and AI layer
  • Cloud-native architecture on Azure Data Factory, Synapse Analytics, or Databricks
  • Snowflake data warehouse configuration and enterprise semantic modelling
  • Automated data quality checks with alerting before bad data reaches your dashboards
  • Full technical documentation and knowledge transfer — your team owns it after we leave

How it works

  1. Week 1

    Source system audit, data landscape mapping, and quality baseline

  2. Week 2–3

    Pipeline architecture design, review, and stakeholder sign-off

  3. Week 4–6

    Build, unit testing, and end-to-end data flow validation

  4. Week 7–8

    Production deployment, monitoring setup, and team handover

Technology we use

  • Azure Data Factory
  • Azure Synapse Analytics
  • Databricks
  • Snowflake
  • dbt
  • Azure DevOps

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