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ENGINEERING DISCIPLINE / 04

DATA ENGINEERING

Connected data foundations for analytics, automation and AI. Traceable pipelines that turn fragmented information into usable knowledge.

Distributed software services connected by AI agent routes, vector retrieval paths and observability traces
FROM INFORMATION TO UNDERSTANDINGDOTLOOM / SYSTEM STUDY

01 / CAPABILITY

Data foundations

  • ETL and ELT pipelines
  • Data warehouses
  • Data optimisation
  • AI-ready data
  • Data quality and lineage

02 / CAPABILITY

Pipelines & transformation

  • Python
  • SQL
  • dbt
  • Airbyte
  • Apache Spark

03 / CAPABILITY

Storage & retrieval

  • PostgreSQL
  • Redis
  • pgvector
  • Qdrant
  • Pinecone
  • Vector search
  • Knowledge retrieval

04 / CAPABILITY

Decision systems

  • Analytics
  • Automated reporting
  • Power BI
  • Operational dashboards
  • Retrieval evaluation

HOW THE PIECES CONNECT

Make your data useful. Make it dependable.

Start with the operational problem. Define the boundaries, connect the right components, and test the complete path before it reaches production.

01Sources
02Ingestion
03Transform
04Store
05Retrieve
PostgreSQLPythondbtAirbytePower BI
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CONNECTED DISCIPLINES

THE NEXT CONNECTION

WHAT SHOULD
WE BUILD NEXT?

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