Freelancer profile translated to English.

Description

I support companies in the design, deployment, and optimization of critical platforms around Elasticsearch, observability, and monitoring.

With over 10 years of experience, I work in demanding environments (Banking, Insurance, Luxury, Public Sector) where system availability, performance, and reliability are major concerns.

My areas of expertise

✔ Elasticsearch / OpenSearch

✔ ELK Stack (Elasticsearch, Logstash, Kibana, Beats)

✔ Observability & Monitoring (Centreon, Kibana, Grafana, Dynatrace, OpenTelemetry)

✔ Spring Boot & Microservices Architecture

✔ REST API

✔ Process Automation (Spring Batch, Cron)

✔ Data Ingestion and Transformation

✔ Performance Optimization and Troubleshooting

✔ Nginx • Tomcat • Linux

✔ CI/CD • Docker • Kubernetes

What I bring

- Design of robust and scalable architectures

- Implementation of monitoring and observability solutions

- Creation of business dashboards and KPIs

- Elasticsearch performance optimization

- Industrialization of processes and automation

- Analysis and resolution of production incidents

- Support for technical teams and skills transfer

I have notably participated in strategic projects for LVMH (Dior Couture), MAIF, and the Financial Markets Authority, focusing on search engines, data centralization, supervision, and high-volume platforms.

I can be involved in technical expertise, architecture, implementation, auditing, optimization, and production support.

Keywords: Elasticsearch, ELK, OpenSearch, Kibana, Logstash, Beats, Observability, Monitoring, DevOps, OpenTelemetry, Centreon, Dynatrace, Spring Boot, Java, Docker, Kubernetes, Kafka, Linux, REST API, Grafana, Prometheus, Automation, Data Platform.

Industry field of expertise

Languages

French
Native or bilingual
Arabic
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Niort (up to 50km), Lyon (up to 50km), Nice (up to 50km), Lille (up to 50km)

Autorité des Marchés financiers
Expert Elasticsearch / ELK – Search Engine Implementation
PUBLIC SECTOR
December 2025 - Today (8 months)
Paris, France
Design and implementation of a high-performance search engine based on the ELK stack (Elasticsearch, Logstash, Kibana) for the Financial Markets Authority (AMF), enabling the indexing and exploration of large volumes of business documents.

Responsible for the architecture and the complete chain of data collection, transformation, and indexing from documentary sources (SharePoint Online), with provision via dedicated APIs and search interfaces.

Key achievements:
Architecture and optimization of an Elasticsearch search engine for indexing business documents and metadata.
Design of data ingestion pipelines (Spring Batch) to automate document collection, parsing, and indexing.
Implementation of a scalable and performant Search architecture.
Development of Spring Boot REST microservices to expose search capabilities.
Development of an AngularJS advanced search interface for business users.
Optimization of Elasticsearch indexes: mappings, analyzers, scoring, query performance.
Implementation of Kibana visualizations for data analysis and exploration.
Implementation of monitoring and supervision for the platform (logs, batch executions, service availability).
Operation and administration of the infrastructure (Linux, Nginx, Tomcat, certificates, cron jobs).

Technical stack:
Elasticsearch • Kibana • ELK • Spring Boot • Spring Batch • AngularJS • Nginx • Tomcat • SharePoint Online • Linux • REST API • Data ingestion pipelines.
Big Data ECE Artificial Intelligence Elastic Stack (ELK) Agile Methodology
MAIF
Lead Architect – Elasticsearch / Observability & Data Platform (MAIF)
BANKING AND INSURANCE
November 2023 - December 2024 (1 year and 1 month)
Niort, France
Acted as an Expert ELK Architect for the design and industrialization of a large-scale observability and data management platform based on Elasticsearch in a critical on-premise environment for the MAIF group.
The mission consisted of designing, optimizing, and operating a centralized platform for collecting, analyzing, and leveraging technical and application data, enabling IT and business teams to exploit logs, events, and metrics in real-time.

Key responsibilities:
Architecture and optimization of high-volume Elasticsearch clusters for operational data analysis and search.
Design of a data platform for centralizing logs and events across applications, infrastructures, and services.
Design and optimization of data ingestion pipelines (Logstash, Beats, Kafka) for processing large-scale real-time streams.
Industrialization of data lifecycle management (ILM – Hot/Warm/Cold/Frozen) to optimize performance and storage costs.
Complete automation of ELK stack deployment and configuration using Ansible.
Integration of Kafka as a data streaming backbone for managing application flows.
Implementation of advanced observability via Kibana and Grafana dashboards.
Migration of existing reporting solutions to an ELK-based real-time analytics platform.
Design of real-time alerting and monitoring systems for operational teams.
Access governance and security of data platforms.
Support for project teams in integrating new applications into the data platform.
Maintenance in operational condition and continuous performance optimization of the cluster.

Technical stack:
Elasticsearch • Kibana • Logstash • Kafka • Grafana • Beats • Ansible • Dynatrace • AKHQ • Linux.
Apache Kafka Ansible Elastic Stack (ELK) Dynatrace Apache Nifi
Christian Dior Couture
ELK Expert - Observability & Data Platform (Dior Couture – LVMH Group)
E-COMMERCE
February 2021 - November 2023 (2 years and 9 months)
Paris, France
Acted as an IT Architect for the design and implementation of a global monitoring and observability platform covering Dior Couture's entire international information system.
The objective was to build a centralized data platform capable of collecting, correlating, and analyzing application, technical, and business data to improve the supervision of critical systems and visibility into the customer experience.
Key achievements:
Design of the overall architecture for the monitoring and observability platform based on ELK, Grafana, and streaming technologies (Kafka, RabbitMQ).
Centralization and correlation of application logs, technical events, and business flows from multiple systems (e-commerce, supply chain, ERP, middleware).
Implementation of data collection and transformation pipelines to integrate heterogeneous sources: Salesforce, MuleSoft, Fluent Commerce, Talend, CEGID, WMS, PowerBI.
Implementation of a real-time analysis and visualization platform for monitoring application performance and business flows.
Development of Business Activity Monitoring (BAM) to track critical transactions and detect operational anomalies.
Implementation of intelligent alerting systems (email, ServiceNow, Teams, SMS) for operational teams.
Implementation of advanced indicators for monitoring user experience and application performance (APM).
Administration and optimization of Elasticsearch clusters in an international cloud environment.
Management and administration of data streaming systems (Kafka, RabbitMQ).
Contribution to defining monitoring and data management standards at the group level.
Organization of business workshops and support for teams in platform operation.
Technical stack:
ELK • Grafana • Kafka • RabbitMQ • Beats • Dynatrace • Azure DevOps Alibaba Cloud • Salesforce • ...
Elasticsearch Logstash RabbitMQ Beats Salesforce