Visibility
Unify account, service, department, and workload-level cost signals.
Athena, Glue, S3, QuickSight, multi-account visibility
For teams that need to understand and reduce AWS-led cloud data workload costs without slowing analytics delivery. Azure and GCP cost signals can be included for cross-cloud views.
Services
Unify account, service, department, and workload-level cost signals.
Prioritize Athena, Glue, S3, and QuickSight actions by impact and effort.
Create dashboards, alerts, and scheduled reports so cost ownership persists.
Optimization workflow
01
Clarify the pipeline, reporting, cost, or delivery pain and decide whether an audit, sprint, or retainer fits.
02
Inspect architecture, data flow, dbt models, AWS services, deployment paths, observability, and cost signals.
03
Implement fixes with Terraform, CI/CD, tests, documentation, dashboards, and handover notes where needed.
04
Leave the team with recommendations, runbooks, implementation notes, and a prioritized backlog.
FAQ
Yes. Work can be structured around client-controlled access, VPN/VDI, least-privilege permissions, client-hosted systems, no local data storage, confidentiality agreements, and DPA/SCC processes where applicable for EU personal data.
They are founder experience from work delivered through German consultancies before and alongside the formation of Riahi IT Solutions. Public wording is kept NDA-friendly and avoids claiming direct company-client relationships where that would be inaccurate.
For unclear problems, start with a fixed-scope audit. For a known backlog, use an implementation sprint. For ongoing delivery support, use a part-time consulting retainer.
AWS data platforms are the core offer. Adjacent work can include Azure/GCP integrations, Databricks, dbt, SQL, Terraform, CI/CD, Python, reporting datasets, and dashboard-ready data models.
Send the AWS services involved, approximate cost concern, and whether this is single-account or multi-account. Typical response time: within 24 hours.