Freelancer profile translated to English.
Back to original languageAbout Maël
During 2018, I was able to complete a 2 and a half month training course focused on Big Data.
The goal was to open myself up to "data processing" technologies.
Hadoop clusters, streaming, or scalability are no longer abstract concepts.
Every day, I learn more about distributed architectures, data processing, or reactive programming.
I have a preference for group work, sharing knowledge helps everyone move forward.
In addition, I particularly appreciate large-volume projects with optimization and competition issues.
As a developer, I can:
⦿ Implement an optimized solution in Java
⦿ Write code that respects test phases (unit tests, end-to-end)
⦿ Set up a microservices architecture (docker)
⦿ Use a "back pressure" system (Kafka or RabbitMQ)
As a DevOps, I can:
⦿ Industrialize server provisioning
⦿ Manage a continuous integration platform
⦿ Use a repository (docker registry)
⦿ Index logs using the ELK tool
linkedin.com/in/maël-nana-2018/
English
Fluent
French
Native or bilingual
Can work on-site
Paris 10e Arrondissement (up to 50km)
Experience
- TakimaJava Developer / DevopsDIGITAL AND ITJuly 2018 - Today (7 years and 11 months)Paris, FranceI work within a company to integrate a log ingestion pipeline.These come from application code, different machines, services...My tasks consist of this:• Deploying Elastic on VMware vSphere machines• Analysis and indexing of logs (load-balancer, database, http server...)• Retrieving metrics from multiple sources (JVM, RabbitMQ...)• Filtering and centralizing logs according to rules (Filebeat, grok)• Visualization via the Kibana interface• Evolution of the backend in Java (distributed system)As soon as I arrived at Takima, I was asked to build a backend system based on Java 8Here are my tasks:• Implementation of a system (back-end) in Java• Connection between the back-end and a Web application• Communication between microservices in containers• Construction of a continuous integration/deployment platform (CI/CD)• Distribution of images via a private repository (Docker registry)• Automation of deployment and provisioning of production• Launching Ansible script by Jenkins (secured via a vault)• Use of a reverse proxy server redirecting requests (front / back)• Automatic certificate generation (certbot, let's encrypt)
- OrchestraJava DeveloperSOFTWARE PUBLISHINGNovember 2016 - November 2017 (1 year)Paris, FranceOrchestra is a software publisher specializing in the field of tourism.Its solution offers real-time access to the offer of more than 150 integrated sources (professionals).My mission within the company consisted of major developments on the platform.Here are my tasks:Regarding the backend part:• Generation of WebServices querying tour operators (leisure, tree climbing, swimming pool…)• Implementation of a "sheduling" system via the Quartz API (Java)• Updating prices• Ingestion of excel grids containing trips or activities• Automate the updating of trips (a trip must be configurable and available in year N+1, N+2)• Patch/version system specific to each clientRegarding the frontend part:• Adding functionality to autocompletes in JQuery / vanilla JavaScript• Evolution of components (generic)• Asynchronism
- MICROPOLEJava Developer (Internship)DIGITAL AND ITApril 2016 - August 2018 (2 years and 5 months)Levallois-Perret, France• Redesign of an E-commerce store (Front office, Back-Office)• Excel import scripts into the platform (images, sounds...)
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Education
- Big Data Student Bac+5 (Paris)EISTI2016
- Big Data EngineerFitec2018Depuis longtemps, je me sens passionné par l'architecture, les plateformes orientées sur la donnée. C'est pourquoi j'ai effectué une formation de 2 mois dans ce domaine. Cela m'a ouvert les yeux sur les technologies existantes à notre époque. Voici l'ensemble de mes tâches : - Mise en place d’un datalake pour le domaine agricole (~1 To / jour) - Prédiction à partir de données météo (Batch / Streaming) - Dimensionnement des clusters Hadoop / ElasticSearch - Pipeline d’ingestion de données (Jobs Spark Kerbérisés) - Optimisation de la mémoire et du nombre d'executors/core sur Spark (JVM) - Gestion des tâches via YARN Manager / Zookeeper - Création des Broker / Producer / Consumer avec Kafka (météo en live) - Supervision et administration sur l'interface d'un cluster Hadoop
Certifications
- Big Data EngineeringFitec2018