AWS data analytics consulting for practical mid-market stacks
Aurea Quantra helps organizations on AWS turn S3, Glue, Athena, and Redshift into a reporting environment finance and operations can trust—connected to QuickSight, Power BI, or Tableau.
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Problems this engagement is built for
- S3 data lakes without clear curated layers
- Glue jobs or Athena queries nobody owns
- BI tools pointed at raw or expensive scan patterns
- Unclear cost drivers for analytics workloads
Architecture and integration patterns
- Curated tables and partitions designed for BI grain
- Separate exploration from governed gold consumption
- Cost-aware query and extract patterns
- Explicit handoff into semantic models or published BI sources
Typical engagement
Workload and architecture review, then a modernization or governance plan and first trusted consumption path for a priority use case.
Starting deliverables
- AWS analytics architecture review
- Cost and ownership findings
- Recommended gold-layer / BI pattern
- Implementation sprint when scoped
Related platforms and pages
Amazon Redshift consulting · Data warehouse modernization · Platforms
Honest scope boundaries
- We do not position ourselves as a full AWS managed-services provider
- Bedrock/AI use cases only after data quality and metrics are solid
FAQ
Can Power BI sit on AWS data?
Yes—many clients use Power BI or Tableau against Redshift/S3-curated layers.
Ready to scope the first phase?
Bring the current stack and the decision your team cannot make confidently. The BI Diagnostic stays practical and vendor-aware—not a product pitch.
Disclaimer: Platform names identify technologies we can assess, integrate, or support. They do not imply vendor partnership unless explicitly stated.