I help startups, consultancies, and industrial teams build reliable AWS data pipelines, automate reporting, optimize cloud data workloads, and clean up dbt / ETL systems. AWS is the core focus, with adjacent support for Azure, GCP, Databricks, and cross-cloud data integrations when projects require it. Remote-first delivery can support teams across Europe, MENA, the Americas/LATAM, and Asia.
Glue, Lambda, Step Functions, S3, Athena
For teams using AWS Glue, Lambda, Step Functions, S3, Athena, dbt, QuickSight, or adjacent Azure/GCP services who need reliable pipelines and faster delivery.
Reliable pipelines with clear ownership, monitoring, and deployment paths.
View servicedbt, SQL, marts, KPI-ready datasets
For teams whose reporting is slowed down by unclear SQL, fragile dbt/Databricks models, missing tests, or analytics logic spread across dashboards and notebooks.
Cleaner dbt projects and dashboard-ready models teams can trust.
View serviceAthena, 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.
Better AWS data cost visibility, prioritized recommendations, and automated reporting.
View serviceRelevant experience
Founder experience comes from AWS-led data engineering work delivered through German consultancies for enterprise industrial environments. Public wording is kept NDA-friendly and precise.
View founder experienceDelivery process
The work is structured for short projects and subcontracting: clear scope, explicit assumptions, practical implementation, and written handover.
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.
Case studies
NDA-friendly examples show the shape of the work: cost visibility, pipeline reliability, and analytics engineering cleanup.
View case studiesAutomotive enterprise
Improved cost ownership and gave technical and business teams a clearer way to discuss recommendations per account and department.
Industrial / manufacturing environment
Created more maintainable delivery paths for data workflows and reduced operational ambiguity for engineering teams.
Engagement options
Start with a short review when the problem is unclear, or move directly into implementation when the target state is already known.
3-5 days · Architecture review, pipeline review, cloud cost/data review
Starting from EUR 900-2,000
2-4 weeks · Building or fixing pipelines, dbt models, dashboards, Terraform setup
Starting from EUR 2,500-6,000
Monthly · Startups and consultancies needing senior data engineering support
Starting from EUR 1,500-5,000/month
Insights
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.
Blog
May 18, 2026
How to keep AWS as the main delivery focus while still handling Azure, GCP, Databricks, and cross-cloud data integration where needed.
May 18, 2026
Notes on positioning HighByte, Litmus, AWS analytics, and dashboards in industrial data platform conversations.
May 18, 2026
A short checklist for deciding where dbt, Databricks, AWS Glue, Athena, and dashboards should own logic.
Working securely from Tunisia
Riahi IT Solutions works as a Tunisian B2B company with remote-first delivery. For EU clients, work can be structured around secure access patterns such as VPN/VDI, least-privilege permissions, EU-hosted infrastructure, no local data storage, and project-specific confidentiality agreements. For personal data or regulated environments, I work with the client's legal/security requirements, including DPA/SCC processes where applicable.
Next step
Send a short description of the current setup, the business problem, and the timeline. I will reply within 24 hours with whether I can help and the best starting option.
