Azure data platform modernization and BI acceleration
Azure data platform modernization and BI acceleration
Modernized legacy analytics to Azure-native platforms and improved BI responsiveness for critical business workloads with repeatable delivery and DR practices.
Enterprise teams needed to modernize legacy analytics platforms without disrupting reporting. We migrated delivery patterns to Azure-native services and focused on measurable BI performance improvements.
How we approached it
Azure-native delivery patterns
Databricks and Data Factory foundations for multi-terabyte and petabyte-scale analytics workloads.
BI performance optimization
Query, model, and pipeline tuning for high-priority reports and dashboards.
Operational continuity
Cross-team release coordination, incident support, and repeatable DR practices for enterprise deployments.
What we delivered
- Engineered Azure Databricks and Azure Data Factory delivery patterns
- Improved Power BI/report performance by approximately 65%
- Supported migration from legacy estates to cloud-native analytics architecture
- Coordinated release, incident, and disaster-recovery execution with platform teams
Outcomes
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Around 65% faster report performance on priority workloads
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Smoother migration from legacy estates to cloud-native analytics
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More stable production releases through coordinated run operations
Representative stack