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.
- Paris area / Remote
- cissecheick22@gmail.com
- +33 7 58 02 42 19
Available across the Paris area or remotely for data platform, GenAI and cloud industrialization initiatives.
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.
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.
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
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
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
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
The topics where I bring the most value.
Designing reusable cloud data platforms to accelerate business deployments on Google Cloud.
Shipping conversational assistants and RAG pipelines with observability and service quality in mind.
Architecture, hands-on execution, industrialization and support for data and AI teams.
A profile strongly grounded in Google Cloud.
Technologies and working environments.
A modern stack focused on cloud, APIs, data pipelines and generative AI.
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.