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DATA PLATFORM · CAPABILITY
category · platform

Data Platform & Cloud Foundations

Data your AI initiatives and analytics teams can trust: governed pipelines, a modeled warehouse and self-serve BI, built by someone who has shipped this in federal government and telecom environments.

platformProduction-gradeGoverned
Audience

Technology and data leaders whose AI and analytics ambitions keep stalling on pipelines nobody fully trusts

Problem

Every AI and BI initiative inherits the same weaknesses: pipelines that fail quietly, lineage nobody can explain, and numbers the business second-guesses

Outcome

Data the business trusts, analytics that keep pace with the questions, and foundations your next AI initiative can build on instead of working around

Deliverable

A governed data platform delivered as code: reliable ingestion and transformation, a modeled warehouse and self-serve BI, on AWS, Azure or Databricks with Glue, Lambda, Terraform, Superset or Power BI as the stack requires

Architecture · how it runs

A working view of the architecture this engagement ships and how it runs in production.

Approach · from prototype to operation

Approach

  1. 01
    Assess
    Audit pipelines, cost and data quality to find exactly where trust breaks down
  2. 02
    Build
    Pipelines as code with lineage and quality gates, so failures surface to engineers before the business sees them
  3. 03
    Enable
    Governed, self-serve BI so analysts answer their own questions without touching raw data
Evidence · proof for this capability
Government · North America
Government of Canada: Greenfield Data Platform
Established a reusable, infrastructure-as-code data platform that turned disparate source systems into governed analytical products. The team could operate ingestion and transformation workloads appropriate to each source, while analysts worked from curated datasets rather than the raw lake.
View case study
Telecommunications · Middle East
Oliver Wyman: Network Investment & 5G Optimization
Reframed network investment as an economic prioritization decision: executive teams could compare upgrade scenarios by the customers affected, their retention risk, their value, and the expected return of an intervention rather than network severity alone.
View case study
Direct booking, no form required

Ship Data Platform & Cloud Foundations

30 minutes to map the problem, the data and the fastest path from prototype to governed operation.

Book a 30-minute callor email info@yannickbounouar.com
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