2025 to present
Public regulatory body, construction
Data lake documentation platform, Power BI claims analytics, governance and metadata standards.
Building trusted
data foundations
for enterprise AI
& analytics.
15+ years helping enterprises turn complex data into business value.
- Data Architecture
- Data Governance
- AI Strategy
Available for new engagements. A first 30-minute call, no commitment. Reply within 48 hours.
15+years in information technology
7+years in data architecture
7engagements in large organizations
5practices, one standard
600M+records architected
0client names made public
The film
One film.
The whole approach.
Practices
Five practices.
One standard.
Durable, documented, governed architectures. Handed over to your teams.
01
Data architecture
Conceptual and physical models, data warehouses and data lakes, hybrid on-premises and Azure integration, medallion architectures.
02
Governance and quality
Governance frameworks, data dictionaries, metadata, MDM, quality, lineage, security and compliance.
03
Business intelligence
Self-service BI platforms (Power BI, Tableau, Qlik), star schema modelling, migrations and communities of practice.
04
AI strategy, advanced analytics and MLOps
AI readiness of your data estate, predictive platform architecture on Azure (Databricks, Azure ML), MLOps roadmaps, Data Mesh.
05
Data product ownership
Product vision, prioritization (WSJF, impact mapping), agile delivery of data platforms. PSPO and SAFe POPM certified.
Architecture
Look inside.
Three layers, one promise: at every level, you know where the data comes from and what it is worth.
Bronze
Raw, but traced.
Faithful ingestion of every source, with no destructive transformation. Timestamps, lineage and replay: you can always go back to the original truth.
Silver
Conformed and cleansed.
Quality rules, reference data and master keys. Entities become comparable from one system to the next, each with a written definition.
Gold
Ready to decide.
Star schemas, certified metrics, and dashboards leadership can use without asking anyone what a column means.
The casing
And around it all, governance.
The dictionary, lineage, access rights and quality rules hold the three layers together. Without that casing, an architecture is just a stack of files.
From scattered sources
to decisions.
That is the whole job. It only shows when it is done well.
Engagements
Seven engagements.
No names.
2025 · 2026
Provincial health organization
Data security advisory for the analytics lake: dynamic masking, RBAC, access recertification, audit strategy.
2023 · 2025
Large state-owned energy utility
Enterprise governance, SQL Server integration with Azure Data Lake and Synapse, corporate data dictionary, advisory to senior leadership.
2022
Cooperative financial group, insurance
Architecture of a predictive analytics and MLOps platform on Azure, a 12 to 18 month roadmap, and a predictive model MVP.
2021 · 2022
International aerospace manufacturer
Self-service BI platform: architecture of more than 600 million records, and a Qlik migration across three time zones.
2019 · 2021
Large public transit company
BI architecture and governance, enterprise MDM, marketing and fare data warehouses, corporate Power BI community.
2018 · 2019
Public financial institution, Paris
Big Data service offering, a comparative study of data preparation tools, and an enterprise Tableau community.
Clients are not named, for confidentiality. References available on request.
Approach
From the first call
to your autonomy.
Four steps, always the same. You know why, not just what.
Step 1
Listen before modelling
A first 30-minute call, no commitment. You leave with a candid read of the situation, whether we work together or not.
Step 2
Frame and decide together
Assessment of the current state, target architecture, costed options and a roadmap. Every decision is documented.
Step 3
Deliver in visible iterations
Concrete deliverables every two to three weeks: models, pipelines, dashboards, governance rules.
Step 4
Transfer, not dependency
Data dictionary, documentation, training and a community of practice. The goal: you no longer need me.
Difference
Why Sénà
and not someone else.
The whole chain, one person
Developer, then BI analyst, engineer, architect, product owner and governance advisor. I speak to technical teams and leadership alike, and I can trace the consequences of an architecture choice all the way to the dashboard.
Fifteen years in large organizations
Energy, finance, insurance, transportation, aerospace, health, regulation: environments with high demands for compliance, confidentiality and continuity.
Independent, so no agenda
No licences to sell and no team to keep busy. I recommend the tool that fits your situation, including the one you already have.
Confidential by default
No client is named publicly, references are available on request, and your data gets the same rules as theirs.
Reply within 48 hours · Clear pricing from the proposal · Documentation delivered at every milestone · French and English
Founder
Eliot Alanmanou
Data architect: fifteen years in information technology, including more than seven in architecture on large-scale projects and organizations, in Canada and Europe.
A career that crosses the whole data value chain: development, BI, engineering, architecture, governance, product ownership. With one conviction: technology moves on, well-designed data models stay.
- Master’s degree in business information systems (MIAGE), Université Paris-Saclay 2018 · work-study
- Professional Scrum Product Owner (PSPO) 2023
- SAFe Product Owner / Product Manager (POPM) 2023
- Native French · Fluent English bilingual and international engagements
Technical specs
What’s under the hood.
Architecture and platforms +
Cloud Azure (Data Lake, Synapse, Data Factory, Databricks, Azure ML)
On-premises SQL Server, SSIS, Oracle, hybrid integration
Patterns medallion, star schema warehouse, Data Vault, Data Mesh
Processing batch, near real time, change data capture
Governance and security +
Frameworks DAMA DMBOK, policies and roles, data committees
Metadata dictionaries, catalogues, end-to-end lineage
Protection dynamic masking, RBAC, access recertification, audit
Compliance Quebec Law 25, personal information, regulated sectors
Business intelligence +
Tools Power BI, Tableau, Qlik
Modelling star schema, DAX, certified measures, fiscal calendars
Adoption communities of practice, training, governed self-service
Scale more than 600 million records, multiple time zones
Terms +
Base Montreal, Quebec
Mode remote internationally, on site when needed
Languages native French, fluent English
Response within 48 business hours
Contact
An engagement in mind?
Montreal · Remote internationally. Pick a 30-minute slot below, no commitment.
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