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Data Platform

Data Platform · Sub-service

Data Pipelines & ETL/ELT

Reliable ingestion and transforms from SaaS, databases, files, and events into governed stores.

Summary

Reliable ingestion and transforms from SaaS, databases, files, and events into governed stores.

Problem

What teams are stuck with

Nightly scripts fail quietly; nobody knows if yesterday’s numbers are complete.

Schema drift from upstream SaaS breaks dashboards and AI features.

Offerings

What we deliver

  • 01

    Batch and incremental pipelines

  • 02

    SaaS and DB connectors

  • 03

    dbt-style transform layers

  • 04

    Data quality checks

  • 05

    Lineage documentation

Approach

How we work it

Contract tests on schemas; alert on volume and null anomalies.

Prefer ELT into a warehouse with versioned transforms.

Document lineage so AI and BI teams trust the same tables.

Outcomes

What good looks like

  • Predictable freshness and completeness
  • Faster onboarding of new sources
  • Fewer “why is this number wrong” wars

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