cheickcisse.me

Cheick Cisse

Senior Data & AI Engineer | GCP, data engineering, generative AI

I design robust data platforms and production-grade generative AI products for demanding teams.

Discovery call or project scoping session directly from my calendar.

Photo de profil de Cheick Cisse
Available for freelance missions Senior Data & AI Engineer

Available across the Paris area or remotely for data platform, GenAI and cloud industrialization initiatives.

9+ years of experience in data engineering and AI
15,000 users served by GenAI assistants in production
6 recognized cloud and data certifications
Clients / environments
Servier Sephora Stellantis Louis Vuitton
Expertise

A profile focused on production, architecture and business impact.

I work at the intersection of data engineering, cloud and generative AI, with a strong focus on reliability, industrialization and real-world usage.

Data engineering on GCP

Batch and streaming pipelines, BigQuery, Composer, Cloud Functions, Cloud Run, dbt, monitoring and CI/CD.

GenAI and RAG architectures

LLM pipelines, FastAPI, LangChain, LangGraph, Vertex AI, PgVector, Weaviate and observability with Langfuse.

Industrialization and production delivery

Solutions designed for production: security, scalability, observability, reusable templates and team enablement.

Experience

Assignments delivered for major players in pharma, retail, automotive and luxury.

I work in complex environments with high expectations around technical quality, reliability and production readiness.

2023 - 2026 Servier

Senior Data Engineer & AI

Designed an international Data as a Service platform and industrial GenAI solutions serving 15,000 active users.

  • LLM RAG pipelines and a FastAPI AI gateway connected to Vertex AI
  • Cloud Run, Cloud SQL, PgVector, Langfuse, LangChain, LangGraph
  • Data industrialization with BigQuery, Composer, Cloud Functions, dbt and Terraform
2021 - 2022 Sephora

Data Engineer

Industrialized GCP data pipelines for employee, finance and retail use cases in an international context.

  • Ingestion and transformation pipelines on GCP
  • Scalable cloud POCs and regression testing
  • Machine learning integration with Dataiku and BigQuery ML
2019 - 2021 Stellantis (formerly Groupe PSA)

Data Engineer

Consolidated marketing data and powered automated dashboards for executive reporting.

  • GCP ETL with BigQuery, Pub/Sub and Cloud Functions
  • Scoring and machine learning use cases with BigQuery ML
  • Pipeline monitoring and PySpark / Stackdriver tooling
2018 Louis Vuitton

Consultant Data Engineer

Contributed to inventory forecasting models and large-scale data architectures.

  • Hadoop / Spark / Python / SQL flows
  • Pipeline structuring for the Data Science team
Projects

The topics where I bring the most value.

Data platforms for enterprise teams

Designing reusable cloud data platforms to accelerate business deployments on Google Cloud.

GenAI assistants in production

Shipping conversational assistants and RAG pipelines with observability and service quality in mind.

Consulting, architecture and delivery

Architecture, hands-on execution, industrialization and support for data and AI teams.

Certifications

A profile strongly grounded in Google Cloud.

Google Cloud Professional Data Engineer
Professional Data Engineer Google Cloud
Google Cloud Professional Cloud Architect
Professional Cloud Architect Google Cloud
Google Cloud Professional Cloud Developer
Professional Cloud Developer Google Cloud
Google Cloud Associate Cloud Engineer
Associate Cloud Engineer Google Cloud
Google Cloud Digital Leader
Digital Leader Google Cloud
Dataiku Certified User
Certified User Dataiku
Stack

Technologies and working environments.

A modern stack focused on cloud, APIs, data pipelines and generative AI.

Python SQL FastAPI BigQuery Cloud Run Cloud Functions Composer Pub/Sub dbt Terraform Docker LangChain LangGraph Vertex AI RAG PgVector Weaviate Langfuse
Contact

Let's discuss your next data or AI mission.

I am available for freelance missions in data architecture, data engineering, GenAI, RAG and cloud production delivery on Google Cloud Platform.