Leading EU Energy Company
Cloud-first data backbone

Key results

• Near real-time access to current vs. forecasted weather indicators for trading desks.
• Unified data layer (staging → warehouse → semantic datasets) with governed lineage.
• Faster data-source onboarding (from 3 APIs now, designed for Oracle & others next).
• Simplified operations and maintenance through orchestrated, observable ETL/ELT.

Qualysoft solution

• Cloud Data Foundation (Azure + Databricks) — Implemented a scalable ELT framework for ingesting and transforming multi-source weather and operational data; leveraged Delta paradigms for reliability and performance.
• Orchestrated Pipelines (ADF) — Built modular pipelines with parameterized datasets, retry policies, and dependency management for resilient operations and simplified maintenance.
• Curated Warehouse (Star Schema) — Modeled fact/dimension structures (e.g., time, location, indicator type, provider) to standardize analytics and accelerate discovery.
• API Enablement — Exposed curated indicators and aggregates through secure APIs for rapid consumption by trading tools and internal applications.
• Power BI Layer — Published certified datasets and standardized KPIs, enabling consistent self-service analytics and executive reporting.
• Migration & Operations — Executed the on-prem → Azure transition, established observability (logging, alerts, SLAs), and applied FinOps practices for cost visibility and optimization.
• Roadmap Readiness — Designed connectors and patterns to onboard Oracle and additional sources without rework; included data quality checks and governance policies.

Business Impact

• Operational efficiency : automated, observable pipelines reduce manual handling and speed time-to-insight.
• Real-time awareness: trading teams access current vs. forecast indicators via API and Power BI, informing pricing and hedging decisions.
• Data reliability & trust: governed lineage, quality checks, and certified datasets standardize analytics across stakeholders.
• Scalable & cost-aware: cloud-native architecture grows with demand while maintaining cost control.
• Future-proof platform: ready to incorporate new data sources (e.g., Oracle ), push/clean data via APIs, and expand analytical use cases without disrupting operations.