Freelancer profile translated to English.
Back to original languageAbout Olivier
Senior Data Engineer with 10 years of experience, specializing in the design, optimization, and industrialization of cloud data platforms on AWS and Big Data environments.
I work on critical projects with high volumes (banking, compliance, fraud, KYC) with a clear objective: reliability, performance, scalability, cost control, and delivery security in production.
🚀 What I bring you concretely
• Design of robust batch & real-time pipelines (Spark, Databricks, Kafka, Python, Scala)
• Optimization of Spark processing and data pipelines (performance gains x2 to x10)
• Implementation of AWS Data Lakes / Lakehouse (Glue, S3, Airflow)
• Industrialization and automation via CI/CD (GitLab) and Infrastructure as Code (Terraform)
• Improvement of data quality, monitoring, observability, and data lineage
• Contribution to modern, AI-ready cloud data architectures
✨ My differentiator
Dual technical and functional (AMOA) expertise: ability to quickly understand business challenges, challenge the existing, and design robust, maintainable, and production-oriented data solutions.
🎯 My approach
• Focus on quick wins (Quick wins + long-term vision)
• Cloud performance / cost optimization (FinOps)
• Production-ready standards
• Strong adaptability to existing environments
• Smooth communication with technical and business teams
French
Native or bilingual
English
Fluent
Can work on-site
Paris 17e Arrondissement (up to 50km)
Experience
- My Money BankCloud Data EngineerBANKING AND INSURANCEOctober 2022 - April 2026 (3 years and 6 months)Paris, France
Context
Mission carried out in two phases:1- Ensure service continuity and prepare new shared technical environments during the acquisition of HSBC retail bank2- Strengthen the banking compliance system by implementing robust cloud pipelines to integrate, control, and expose compliance data (KYC, LCB-FT, BE) in an AWS environmentWork performed.
- Technical lead for 2 consultants and technical referent for offshore teams in India.
- Participation in a first phase of Data Platform modernization focused on Databricks / Spark on AWS as part of the merger of HSBC France systems.
- Development and optimization of Spark 3 pipelines for critical batch processing and Data Lake industrialization.
- Contribution to architectural choices and evolution of cloud data platforms in a context of restructuring and harmonization of technical standards.
- Implementation of AWS Glue / Spark ELT pipelines and Airflow orchestration for banking compliance topics (KYC, LCB-FT, market abuse).
- Design of AWS serverless components (Lambda + Python) and REST APIs for data integration and exposure.
- Implementation of DataOps best practices: data quality, monitoring, rejection management, CI/CD, and observability.
- Contribution to the Data Platform architecture and industrialization of cloud processing.
Technical environment.
Cloud & Infrastructure: AWS (Lambda, S3, Glue, RDS, Athena), Docker, TerraformData & Integration: Spark, Scala, Python, Java, Databricks, medallion architecture, unity catalog, Airflow, Spring web, mockito, OpenAPI, FlyWayDevOps & Monitoring: GitLab, Kibana, DataDog, Nexus, SonarQube - RATPCloud Data EngineerTRANSPORTATIONApril 2023 - June 2023 (2 months)Paris, France
Context
ETL migration project to replace Talend treatments with more maintainable and performant Python code, while preparing the target architecture for data flows.Work performed
- Redesign of Talend flows into performant Python jobs.
- Participation in the design of the target ETL migration architecture.
- Optimization of existing jobs and rationalization of treatments.
- Development of pipelines compliant with the star schema.
- Collaboration with project teams on technical choices.
- Contribution to the reliability of data processing.
- **Deliverables**: Python jobs, migration scripts, technical documentation.
Technical environment
Cloud & Infrastructure: AWS (S3, RDS, Athena), Snowflake, AirflowData & Integration: Python 3.12, SnowSpark, TalendDevOps & Monitoring: GitLab, CloudWatch - Société GénéraleBig Data DeveloperBANKING AND INSURANCEAugust 2021 - September 2022 (1 year and 1 month)Paris, France
Context.
MOSAIC Project (MOre Security with Artificial intelegenCe), dedicated to combating external fraud using Big Data and Machine Learning technologiesWork performed.
- Technical supervision of 2 junior data engineers.
- Development of batch and streaming data pipelines (Spark, Kafka, Spark Streaming)
- Transformation of transactional data into enriched datasets for machine learning
- Participation in the industrialization of ML pipelines (feature engineering, scoring)
- Migration of Spark Python jobs to Scala and performance optimization
- Development and improvement of existing processes
- Implementation of monitoring and production incident management
- Collaboration with data scientists and business teams.
Technical environment.
Big Data Infrastructure: Hadoop, Cloudera, HBase, HiveData & Integration: Spark 2.4, Scala, Python, Kafka, Talend, Bash LinuxDevOps & Monitoring: Git, Jenkins, kibana, Cloudera Manager
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Education
- Specialized Master's in BI and AnalyticsEISTI2018Classé N° 1 des formations supérieures en BI et informatique décisionnel en France (source : - Gestion de projet décisionnel, BI en agile (scrum), V. - Concepts et outils ETL (SSIS, Informatica, DataStage)et DataViz(SAP BO, Qlik, Tableau, Power BI) - Gouvernance des données (MDM, qualité, RGPD etc...) - Technologies Big Data(Hadoop, HDFS, Spark, Scala, Hive...). - modèles de Maching learning
- Master in Fundamental Computer ScienceUY12013Algorithmes(Algorithmique, complexité algorithmique, algorithmes avancés) Génie logiciel Programmation(java SE, java EE, PHP, C/C++, Bash, HTML, CSS, Pascal, Mathlab) Base de données avancées Systèmes d'exploitation et réseau
Certifications
- AWS Certified Cloud PractitionerAmazon Web Services
- AWS Certified Data Engineer - AssociateAWS