Cloud & Governed Data
Cloud and data platforms that hold up under audit: clear architecture, security by default, and trustworthy reporting.
Cloud by provider
What we do on AWS, Azure, and GCP
We select each provider according to the technical and operational needs of the case.
Lightweight, maintainable, observable architectures
On AWS we design lightweight, maintainable architectures: static sites on S3 + CloudFront, serverless APIs with API Gateway + Lambda, email delivery with SES, and storage for leads, events, or operational data.
- S3 + CloudFront
- API Gateway
- Lambda
- SES
- RDS
- DynamoDB
- CloudWatch
- S3 + CloudFront for corporate sites, assets, and secure distribution.
- API Gateway + Lambda for lightweight endpoints and serverless integration.
- SES for transactional email and contact forms.
- RDS / DynamoDB for persistence depending on the use case.
- Per-environment separation with accounts, IAM, and explicit policies.
- Baseline observability and operations for continuity.
Data and reporting
From enterprise databases to auditable executive reports
Three blocks covering the path: enterprise databases, auditable pipelines, and reporting with traceability.
SQL Server, Oracle, PostgreSQL, MySQL, DB2, Sybase, and SAP HANA
The service scope covers enterprise databases connected to pipelines, reports, and operational processes with traceability, including modeling, migration, and integration.
- MS SQL Server
- Oracle 11g+
- MySQL
- PostgreSQL
- Sybase
- DB2
- SAP HANA
- Modeling and design for performance and consistency.
- Controlled migrations across enterprise engines.
- Integration with SAP and non-SAP systems.
- Reporting with traceability to the source data.
- Quality validations and reconciliation between sources.
Auditable, versioned ingestion, transformation, and quality
Data pipelines that are auditable and reproducible. No orphan scripts, no processes only one person on the team understands.
- ETL/ELT
- Streaming
- Batch
- Data quality
- Reliable ingestion from source systems.
- Versioned transformations checked into source control.
- Quality validations with alerts.
- Catalog of sources and dependencies.
- Controlled reprocessing in case of errors.
Common semantic layer and traceable reports
The design carries source traceability into executive reports and prepares evidence for audit review.
- Power BI
- Tableau
- Looker Studio
- Semantic layer
- Governance
- Common semantic layer across areas.
- Executive and operational reports with source traceability.
- Traceability to the source data.
- Source validation and quality rules.
- Data governance per domain.
When it applies
From scattered data to trusted reports
Patterns that arise when data lives in many places and the final report lacks shared definitions.
- Critical information spread across ERP, CRM, Excel, and internal databases.
- Reports that each team rebuilds differently, with different numbers.
- Manual pipelines that break and no one notices in time.
- Cloud costs growing without control or governance.
- No common semantic layer across business areas.
- Executive reports without source traceability for audit review.
What we deliver
What we deliver
Each commitment is documented as a deliverable that can be reviewed, audited, and operated.
- Documented cloud architecture (AWS / Azure / GCP).
- Versioned data pipelines with measured quality.
- Common semantic layer for reporting.
- Auditable executive dashboards and reports.
- Explicit cost model and cloud governance.
Next step
Want to build software, integrate SAP, or pilot an Enterprise Copilot?
We help diagnose the case, define a focused scope, and assemble the right team. Clear communication, without vague promises.