De-risk a Data or Cloud transformation
Clarify the target, dependencies and migration path before several teams commit to a costly and fragile trajectory.
Architecture · Migration · GCP · BigQueryExplore the Data serviceFRANCE · MAURITIUS · INTERNATIONAL REMOTE
De-risk Data, Cloud and AI projects in Mauritius.
I help Mauritian companies de-risk Data transformations, make business-critical websites and applications more reliable, and automate workflows that drain their teams’ time.
Free 30-minute initial call · English or French · Remote by default
THREE CONCRETE PROBLEMS
Start with the decision that can no longer wait.
No generic technology catalogue. Every engagement starts with a business consequence: operational risk, rising cost, slower execution or skilled people trapped in repetitive work.
Make a website, e-commerce platform or application safer to change
Reduce deployment risk, make every change traceable and create an environment where releases can be tested with confidence.
Technical reliability · Git · Staging · DeploymentExplore the web serviceAutomate a business workflow with AI
Start with time lost, required controls and real exceptions to ship a useful tool — not a demo that never reaches daily operations.
Workflow · LLM · RAG · Business applicationExplore the AI serviceA CONTROLLED FIRST ENGAGEMENT
Scope first. Scale only when justified.
- 01
Qualify
A free 30-minute initial call to understand the problem, its impact and the decision you need to make.
- 02
Assess
A focused engagement, usually delivered remotely, producing actionable findings and priorities.
- 03
Decide
A proportionate next step: a targeted fix, fractional support or a broader transformation.
ON-SITE IN MAURITIUS
Travel should create more value than it costs.
I travel when being on site accelerates strategic alignment, secures a launch or brings several teams together around a critical decision. A small standalone assessment remains remote. When travel is justified, dates, travel time and expenses are explicitly agreed in the proposal.
- Scoping workshop with several decision-makers
- Launch, cutover or critical implementation phase
- Several qualified meetings or engagements grouped together
CREDIBILITY
From decision to production.
More than ten years in business-critical Data environments, leadership of teams of 6 to 9 data engineers, three separate BigQuery optimizations estimated at $100–110k/year in total, and an AI product published on the App Store.
10+years of experience
6–9engineers led
$100–110kestimated annual savings
1 productAI in production
YOUR PRIORITY
Which risk or source of wasted time should you reduce first?
Share the context in a few lines. I will reply with the information needed to decide whether a conversation would be useful.
Prepare an initial call