Freelancer profile translated to English.
Back to original languageAbout Ely
Specialist in designing scalable data architectures capable of processing millions of events in production. I support major clients (EDF, GEODIS) in their Big Data transformations: cloud migrations, real-time platforms, security & GDPR compliance.
My approach -> Optimize every link in the data chain to ensure performance, resilience, and data integrity.
Certified AWS, Azure, Dataiku, Snowflake, Kubernetes, and Google, I am a proponent of continuous learning.
Sectors of intervention: Energy/Nuclear, Logistics, Regulated Industries
Available for long-term assignments (6+ months) or strategic consulting on scalability challenges and production infrastructure optimization.
Portfolio: elysene.engineering
French
Native or bilingual
English
Fluent
Can work on-site
Bordeaux (up to 50km), Paris (up to 50km), Marseille (up to 50km), Lyon (up to 50km), Nantes (up to 50km)
Experience
- EDFData Engineer - NiFi ExpertENERGY AND UTILITIESOctober 2025 - Today (10 months)Bordeaux, FranceContext:Migration of millions of sensitive metadata and documents in a regulated environment with strict security constraints.Achievements:>Led the migration of millions of critical metadata and documents from Oracle (PL/SQL) to AWS Aurora PostgreSQL via Apache NiFi and Kafka>Developed advanced ETL (SQL/Python/Groovy) to process complex and sensitive data structures>Implemented anonymization and pseudonymization processes for sensitive data in compliance with sector security requirements>Improved migration throughput (x2) by tuning NiFi clusters>Monitored AWS infrastructure (ECS Fargate) and maintained operational condition (MCO) via CloudWatch>Automated CI/CD (GitLab) and managed Infrastructure as Code (Terraform/Terragrunt) to ensure traceability and reproducibility>Migrated the Nuxeo DMS platform to AWS with secure management of binaries (S3) and metadata (PostgreSQL)▶Result:>Migration of five major units with 0 data loss>100% production availability maintained>Full compliance with sector security standards.Stack: AWS (ECS Fargate, Aurora PostgreSQL, S3, CloudWatch), Kafka, NiFi, Terraform / Terragrunt, GitLab CI/CD, Nuxeo Platform, REST API, Oracle Database, Python, SQL
- GEODISData EngineerLOGISTICS AND SUPPLY CHAINAugust 2023 - September 2025 (2 years and 1 month)Levallois-Perret, FranceContext:Design and industrialization of a real-time Big Data platform for IT monitoring and governance of sensitive data (HR/Finance) with security and GDPR compliance constraints.Achievements:Big Data Architecture & Real-time Ingestion:>Set up real-time ingestion and transformation flows (NiFi, Kafka, Spark) to process several million daily events>Multi-level data architecture (Raw → Clean → Functional) on Apache Iceberg/Hive tables to optimize versioning and performance>Capture and streaming of +20 API flows via Kafka with distributed storage on Cloudera Data Platform>Developed semantic enrichment and cleaning pipelines under Dataiku DSSSecurity & GDPR Compliance:>Implemented a dynamic Row Level Security (RLS) engine under PySpark integrating Azure AD for multi-axis access control>Set up systematic anonymization and pseudonymization processes for sensitive HR/Finance data in pipelines>Automated mapping of individual accesses via Azure AD and LDAP for complete traceability>Automated extraction solution via Azure Functions (Python) with secure storage on Azure SQLDevOps & Automation:>Complete deployment automation (Spark jobs, Airflow DAGs) via Ansible and Azure DevOps on 4 environments (Dev/UAT/Test/Prod)>Infrastructure portability ensuring deployment reproducibility▶Results:>50% reduction in average IT incident resolution time through improved monitoring>20% savings on Power BI license costs (automatic detection of inactive accounts)>100% GDPR compliance on sensitive HR/Finance reports>Significant productivity gain for the administration team.Stack: Dataiku DSS, Spark (PySpark, Scala), Kafka, NiFi, Hive/Iceberg, HDFS, Airflow, Cloudera Data Platform, Azure DevOps, Ansible
- ReglightCo-FounderENVIRONMENTALMarch 2025 - August 2025 (5 months)Paris, FranceContext:Design and development of an ESG regulatory analysis SaaS platform using generative AI to automate the extraction and analysis of CSRD (Corporate Sustainability Reporting Directive) documents.Achievements:AI & Intelligent Search Architecture:>Design and implementation of a RAG (Retrieval Augmented Generation) based vectorized search engine with Azure OpenAI>Integration of Azure AI Search for semantic analysis and vector search on complex legal documents>Development of Python pipelines for automated extraction, transformation, and indexing of regulatory data into PostgreSQLSecurity & Cloud Architecture:>Design of a secure multi-tenant architecture (isolation of client data at the application and storage level)>GDPR compliance with guaranteed confidentiality of sensitive financial reports>Deployment on Azure Cloud with Azure Functions for asynchronous processing▶Results:>Significant acceleration of ESG regulatory reporting time>100% GDPR compliance and guaranteed security of client data>MVP solution operational in 6 months with a scalable architecture.Stack: Azure OpenAI, Azure AI Search, Azure Functions, Azure Cloud, PostgreSQL, Python, RAG (Retrieval Augmented Generation), REST API
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Education
- Master Big Data & Machine LearningEFREI PARIS2023Master Big Data & Machine Learning
- Computer ScienceAsia Pacific University2023Computer Science