Data Engineering
Reliable ingestion, transformation, orchestration, and delivery for operational and analytical use cases.
Data & analytics
Connect the data. Create the insight. Enable intelligent action.
CELDANIA builds dependable data foundations and decision-ready analytics that make practical AI automation possible—connecting the right systems, validating the right context, and measuring the outcomes.
Request a free automation reviewMicrosoft Fabric
Modern lakehouse, warehouse, pipeline, semantic model, and analytics implementations.
Azure Data Solutions
Cloud-native data architecture designed for security, scale, observability, and maintainability.
Data Pipelines
Automated, monitored movement of data between files, APIs, applications, and databases.
SQL
Practical modeling, query optimization, transformation logic, and database engineering.
Power BI
Decision-ready semantic models, dashboards, reporting experiences, and governed metrics.
Data Quality
Validation, reconciliation, freshness monitoring, ownership, and exception management.
Analytics Modernization
Move recurring spreadsheet work toward dependable, repeatable data products.
A connected foundation
From source system to trusted action.
Reliable automation depends on validated data, clear models, monitored pipelines, governed analytics, and business context.
Source systems
Data engineering
Quality rules
Analytics
AI + automation
Business outcomes
Less time reconciling. More confidence acting.
We connect data work to the operational decisions, reporting cycles, and automation workflows it needs to support.
Discuss your data foundation- Fewer brittle spreadsheet handoffs
- Consistent metrics and definitions
- Observable, maintainable pipelines
- Faster reporting cycles
- Better inputs for AI automation
- A scalable path from prototype to production