Cloud FinOpsCloud 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
LakehouseLakehouse & 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 chainSupply 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
ObservabilityPipelines, 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 & productsAI-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 systemsEnterprise 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