Freelancer profile translated to English.

Description

🚀Data & AI Engineer | From idea to delivery and adoption of your Data & AI products

💡 Do you have a Data or AI project to realize? I will support you from A to Z, from gathering your needs to production deployment and adoption by your teams.

📌 My expertise includes:

• Data Architecture: Design of robust and scalable architectures.

• Data Pipelines: Implementation of Batch & Streaming data flows.

• Orchestration: Optimization and automation of workflows.

• Data Management: Data governance and data quality.

• Data Modeling: Efficient modeling for leveraging your data.

• DataOps & MLOps: Agile deployment and industrialization of AI projects.

• Dashboards: Creation of clear and impactful dashboards for informed decision-making.

🎯 Why work with me?

• Tailored approach adapted to your business challenges.

• Proven technical and methodological expertise.

• Fluid communication for optimal project follow-up.

👉 Together, let's transform your data into added value!

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

BNP Paribas
Lead Data Engineer
BANKING AND INSURANCE
September 2022 - Today (3 years and 9 months)
Paris, France
As the first Data Engineer in the IT Marketplace department, an ambitious project aiming to centralize all IT offerings within the bank, I was responsible for creating a data platform from scratch, providing the tools, architecture, and culture required to become “Data-Driven.”
Definition of the data strategy and roadmap: Developed and implemented a comprehensive data strategy to align with business objectives.
Self-hosted Modern Data Stack: Deployed and managed self-hosted analytics and data transformation tools (Metabase, DBT) to ensure seamless data operations.
In house ETL/ELT Data Pipelines and DataOps: Designed, developed, and deployed scalable data pipelines, a robust data warehouse establishing a documented, governed and monitored single source of truth.
Tableau/ Metabase Dashboards: Simplified data discovery and access through industrialized and flexible dashboards, providing reliable and up-to-date metrics on a daily basis.
Team training (product, marketing, quality): Conducted training workshops on the use of Tableau dashboards, enhancing the adoption of proposed solutions and maximizing the impact

Tech Stack: Golang, Python, Bash, Airflow, dbt, PostgreSQL, Redis, Kafka, ReactJS, Kubernetes, Keycloak, Vault, Git, GitLab CI/CD, IBM Cloud

Management Tools: OKR, Kanban, feedback loop, discovery and framing sessions, EPIC, Feature pitch
Python GO Bash DBT PostgreSQL Redis Kubernetes Git Gitlab CI/CD OKR Extract, Transform, Load (ETL) Airflow
Veolia Water Technologies
GCP DATA ENGINEER
September 2019 - October 2022 (3 years and 1 month)
94410 Saint-Maurice, France
Hubgrade Digital Solutions, an initiative by Veolia Water Services, That aims to centralize all water related data to increase operational performance and water lifecycle management, detect production anomalies (water quality, waterleaks, management, etc.), and improve collaboration with stakeholders.

Data Warehouse Management: Maintained and optimized a 500+ TB BigQuery data warehouse, ensuring data availability and performance for decision-making.
Data Acquisition ETL / ELT Microservices: Designed and deployed dozens of scalable ETL microservices using Python, Flask, and Pandas on Google Cloud Engine and Cloud Functions.
Data Transformation Management: Developed and optimized an internal data transformation system (similar to dbt) orchestrated by Airflow to implement business rules and improve data quality.
FinOps Optimization and Monitoring: Implemented FinOps strategies, including user quotas, IAM management, and BigQuery query optimization, while monitoring GCP projects for resource efficiency and security.
ML Models deployment: Developing, Deploying and serving an ML model for predicting water consumption and estimating earning
Full-Stack Data Observability Solution: Built a strategic full-stack platform combining Python, Vue.js, and Firebase with machine learning (time series, clustering) to ensure data consistency, completeness, and proactive anomaly detection and alerting.

Tech Stack: Python, Bash, Java Script, Bitbucket, GCP, BigQuery, GCS, Pub/Sub, Compute Engine, Cloud Composer, Airflow, Looker

Management Tools: Scrum, KPI definition, Trust management, JIRA