Portfolio

USUAL Project

On mission at EDF for the maintenance and evolution of an application chain which makes it possible to collect, store, analyze and transform usage and infrastructure data generated by all of the group’s business information system applications.

• Maintaining operational condition and monitoring the application chain.
• Configuration and installation of products in project mode, including environment configurations and automated deployment.
• Improvement of the collection and processing chain.
• Integration of requests: workshops for collecting user needs, evolution of existing requests following data changes and creation of processing scripts.
• Implementation of BASH operating scripts for the application chain.
• Training and functional support for Kibana, including visualisation models, dashboards and alerting.
• Incident management.
• Migration from LDAP to OpenID authentication.
• Implementation of APM.
• Training and monitoring of apprentices.
• Technical documentation.

Technologies used: GIT, ELK, Kafka, NiFi, Groovy, Shell, Python, Spark, Rsyslog, Ansible, Jenkins, LDAP, OpenID and Grafana.

USUAL TOOL-KITS

Design and development of a platform and tools allowing the optimisation of the USUAL application chain. The platform consists of the following tools:

• Monitoring and reloading application data.
• Management of access rights.
• Verification of the operation of the application-chain products on the cluster.
• Management of the service contract and verification of certificate validity.

Technologies used: GIT, Docker, ELK, ReactJS, NodeJS, Shell, Python, Ansible, Jenkins and OpenID.

HDR Project

Comparison between the Neo4j and JanusGraph databases using HTA and BT electricity-network data as a data source, with the following objectives:

• Evaluate the performance of Neo4j and JanusGraph in terms of storage, queries and processing of HTA and BT electricity-network data.
• Compare features and data-modelling capabilities to represent the complex relationships between the different elements of the power network.
• Identify the advantages and disadvantages of each solution according to the specific needs of the electricity-network management system.

Technologies used: GIT, Docker, UML, CIM, Neo4j, Java, JanusGraph, Hadoop, HBase, Elasticsearch and Spark.

SYNTERRE Project

• Development of a crisis-management model allowing electricity-network operators to simulate and manage crisis situations in real time on the ENEDIS network, with visualisation and monitoring tools to identify potential problems quickly.
• Development of a real-time crisis-management model for the SEI electricity network.

Technologies used: GIT, Docker, UML, Neo4j, Java, MongoDB, NodeJS, Angular, Leaflet, ReactJS, Redux and Mapbox.