Proven delivery

Experience Built on Delivered Data Products

Across nearly two decades of engineering work, our team has designed, built, and operated data platforms for telecommunications, global retail, cloud services, music technology, banking, healthcare, and heavy manufacturing. Every engagement below reflects work delivered end to end β€” from architecture and ingestion to governance, automation, and production support.

Abstract isometric visualisation of a cloud lakehouse data platform
18+Years in technology delivery
6+Years focused on data engineering
4Cloud providers in production
10+Industries served

Where We Have Delivered

Six capability areas shaped by real production systems, not slideware.

Cloud FinOps

Cloud Cost Control Platforms

We were a core contributor to a FinOps data platform that lets enterprises evaluate and optimise consumption across Azure, AWS, Microsoft 365, and Google Cloud.

  • Architecture and implementation of four cost-control domains on one shared platform
  • Terraform infrastructure-as-code for repeatable, auditable provisioning
  • Databricks Asset Bundles standardised and extended to a US semiconductor client
Lakehouse

Lakehouse & Data Platform Engineering

We hold architecture and implementation responsibility for metadata-driven data lakes and Databricks lakehouses running in regulated, high-volume environments.

  • SQL metadata-driven data lake designed and built on Azure for a Nordic telecom group
  • Workflow-as-code delivery with Databricks Asset Bundles and DEV/QA/PROD parity
  • Delta Lake bronze-to-silver transformations with strict parameter validation
Supply chain

Supply Chain & Retail Analytics

For a global consumer-goods group we ingested Stock Deployment domain data into an internal self-serve analytics platform using standardised, template-driven patterns.

  • Sync API ingestion template productionised for inventory and capacity planning
  • GitHub-based promotion flow: branch to DEV, pull request to QA, release to PROD
  • Handover-ready, reviewable code aligned with the client's platform standards
Observability

Pipelines, Warehousing & Observability

We own end-to-end responsibility for data processing and visualisation landscapes β€” from orchestrated pipelines to the dashboards that operations teams rely on daily.

  • Data warehouse design and Airflow pipeline operations for a European hosting provider
  • Log and metric observability with Elasticsearch, Kibana, Prometheus, and Grafana
  • Large-scale batch processing on the Hadoop ecosystem with Hive and PySpark
AI & products

AI-Ready Data Products

In music technology we modelled and extracted the data behind recommendation engines, powering artist, playlist, and track suggestions at consumer scale.

  • Popularity calculation and similar-artist relation models for recommendations
  • Multi-source metadata enrichment pipelines and automated ingestion
  • Search over external links and audio fingerprinting proof of concept
Enterprise systems

Enterprise Systems & Automation

Before the cloud era our engineering roots were in mission-critical business systems β€” the discipline that still shapes how we ship reliable data platforms today.

  • Business process automation and enterprise portals for a global software vendor
  • Scheduling, banking, and automotive service platforms in regulated markets
  • CI/CD configuration management and UI standards leadership in manufacturing IT
Abstract cloud cost governance illustrationAbstract streaming data pipeline illustration

Engagement Timeline

A selection of the platforms and products we have delivered, by industry.

  1. 2025 β€” nowConsumer goods Β· Denmark

    Stock deployment ingestion for a global retail supply chain

    Standardised Sync API ingestion and workflow-as-code delivery feeding trusted inventory and capacity planning data products.

    • Databricks
    • DAB
    • AWS S3
    • Delta Lake
    • Python
  2. 2024 β€” 2025Cloud & IT consulting

    Multi-cloud FinOps cost control platform

    Azure, AWS, Microsoft 365, and Google Cloud cost domains built on one platform, provisioned with Terraform and packaged with asset bundles.

    • Azure Databricks
    • Terraform
    • SQL
    • ADF
  3. 2021 β€” 2024Telecommunications Β· Denmark

    Metadata-driven data lake and next-generation data platform

    Scalable architecture, ETL engineering, warehousing, GDPR-aligned governance, and automation for analytics, BI, and machine learning teams.

    • Azure
    • Spark
    • Hadoop
    • ADF
    • Python
    • SQL
  4. 2020 β€” 2021Web hosting & cloud services

    Processing and visualisation landscape for a hosting group

    Data warehouse setup, Airflow pipeline operations, and observability dashboards over logs and metrics across the group's estate.

    • Airflow
    • Hive
    • PySpark
    • Grafana
    • Elastic
  5. 2017 β€” 2020Music technology & AI

    Data foundation for a music recommendation engine

    Data modelling and extraction for artist, playlist, and track recommendations, plus backend search and tagging services.

    • Python
    • JupyterHub
    • APIs
    • Data modelling
  6. 2008 β€” 2016Manufacturing, banking & healthcare

    Mission-critical enterprise applications

    Automotive service, medical scheduling, banking, and logistics systems delivered with CI/CD discipline and UI standards leadership.

    • .NET
    • K2 BPM
    • SharePoint
    • CI/CD

Bring this experience to your data platform

Tell us where your data is today and we will map a pragmatic path to a governed, reliable, cost-aware platform.