Abdellatif Laamrani

Design and implementation of a high-performance search engine based on the ELK stack (Elasticsearch, Logstash, Kibana) for the Autorité des Marchés Financiers (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 REST Spring Boot 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 platform monitoring and supervision (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 APIs • Data ingestion pipelines.

Acted as an ELK Expert Architect for the design and industrialization of a large-scale observability and data management platform based on Elasticsearch in a critical on-premise MAIF group environment.

The mission involved designing, optimizing, and operating a centralized platform for collecting, analyzing, and valorizing 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) to process 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 through Kibana and Grafana dashboards.

Migration of existing reporting solutions to an ELK-based real-time analysis 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 and continuous performance optimization of the cluster.

Technical Stack:

Elasticsearch • Kibana • Logstash • Kafka • Grafana • Beats • Ansible • Dynatrace • AKHQ • Linux.

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 group-level data management and monitoring standards.

Organization of business workshops and support for teams in platform operation.

Technical Stack:

ELK • Grafana • Kafka • RabbitMQ • Beats • Dynatrace • Azure DevOps Alibaba Cloud • Salesforce • ...