Missions Amazon EFS : Dénichez votre futur poste en freelance

Aperçu des missions de Hicham,
freelance AMAZON EFS résidant dans les Hauts-de-Seine (92)

• Cloud/Data Architect – Consultant for GrtGaz

  BPI France, Total
  Jan 2021 - aujourd'hui

  • Architecture design and implementation in AWS with cost optimization
  • Infrastructure deployment with Terraform
  • Migration of databases from OnPrem to AWS
  • Sitting up a data Lake, a cloud data platform and ingestion patterns
  • Automation of feeding and updating of data in the platform from different resources.
  • Establishment of a pipeline for data analysis
  • Automation of integration and deployment of alerting mechanisms on the preprod and prod
  environments.
  • Development of the principles of scalable architecture platform and implementation of the
  necessary components for the stabilization.
  Amazon Connect:
  • Setting up a 100% cloud-based contact center with Amazon Connect (Clients in EU & Canada).
  • Implementation of a complete AWS architecture (CloudFormation) for the management of call
  flows (S3, DynamoDB, Kinesis, Transcribe, Lex, Lambda, SNS...)
  • Voicemail Management

  AWS (IAM, Kinesis, S3, DynamoDB, Transcribe, Glue, Athena, lambda, Cloud9, python, etc.), Agile Safe

• Study and development engineer

  Ingenico
  Jan 2018 - Jan 2019

  • Python and Linux scripting
  • Development of applications for payment terminals.
  • Investigation and correction of development bugs.
  • Capitalization of experience in a treatment methodology.
  • Support for regions.

  C ++, python, Linux, GIT, JIRA

• Ingénieur d'étude et développement

  Ingenico
  Jan 2018 - Jan 2018

  • Développement des applications pour terminaux de paiement.
  • Investigation et correction des bugs de développement.
  • Capitalisation de l’expérience dans une méthodologie de traitement.
  • Support des régions.

  C++, python, Linux, GIT

• Intégration, développement de logiciels télécoms et automatisation des tests

  Orange
  Jan 2017 - Jan 2018

  • Automatisation des tests (exécution des tests, analyse des traces).
  • Développement de logiciels de télécommunication / simulation d'équipements réseau.
  • Migration des données entre plateformes.
  • Scripting Linux
  • Installation et implémentation de différents services sur la plateforme IN.

  OTIP, Eclipse, Netbeans, SVN, Java / GWT, Python, script Linux, ADB, SQL, Wireshark

• Ingénieur d'étude et développement

  Davidson Consulting
  Jan 2013 - Jan 2017

  • Coordination et suivi du projet automatisation des tests mobiles.
  • Développement des macros VBA pour automatisation des traitements Excel.
  • Développement d’une application JAVA pour automatisation de la validation des objets connectés.
  • Capture et analyse des traces mobiles et réseau, investigation des bugs de fonctionnement.
  • Rédaction des plans et des procédures de tests.
  • Définition de nouveaux indicateurs pour le suivi de la QoS 4G.
  • Développement et MAJ de l’outil BI pour suivi des indicateurs de performance
  • Capitalisation de l’expérience dans une méthodologie de traitement.
  Projets réalisés
  • Etude mathématique des algorithmes basiques de NLP :
  L’objectif de l’étude est de comprendre les principes fondamentaux de NLP ainsi qu’une introduction d’utilisation d’entropie pour le
  NLP.
  ✓ Classification de Bayes
  ✓ Regression logistique
  ✓ N-gram Language Models
  • Résolution des vrais problèmes de prédiction avec les algorithmes de Machine Learning :
  Il s’agit d’extraire les données, faire le pré-processing, la modélisation et la mise en production.
  ✓ Kaggle : house-prices-advanced-regression-techniques (Top 7%)
  ✓ ChallengeData : Paris Fire Brigade.
  • Développement d’une application web J2EE pour gérer les compétitions d’algorithmique
  Il s’agit d’une application web JEE (JAVA,Tomcat) qui permet aux étudiants de participer en temps réel aux compétitions
  algorithmiques organisées à l’école :
  ✓ L’application WEB reçoit le code (JAVA, C, C++ ou PHP) développé par les équipes, l’exécute et génère les résultats.
  ✓ L’application affiche le classement des équipes en temps réel.
  
  Activités parascolaires
  • Membre de la plateforme Kaggle ********
  • Membre de la plateforme ********/
  • Participation à la compétition régionale ACM-ACPC à Beyrouth, Nov 2011. ********
  • 2ème prix des Journées Nationales des Jeunes Développeurs (JNJD) 2012. ********
  • Participation aux compétitions d’algorithme et de programmation (ID : Hich_am). ********/
  • Responsable technique du Club Informatique et Télécoms de l’Institut National des Postes et Télécommunications 2011/2012.
  • Activités sportives: Volley-ball, Natation, Football.

  Linux, iTest, JSON, ADB/AT, Wireshark, VB(visual Basic), Netbeans, C++, Python

• Cosmos digital-

  AWS Data and Cloud architect
  Jan - aujourd'hui

  • Architectural design on AWS Cloud according to requirements (IAM. AWS Organizations
  Cloud9...)
  • Development (Python+Django) and deployment of a web application on the AWS cloud
  • Linux scripting
  • Machine learning on medical data: build, train and deploy algorithms using SageMaker.
  • Development of a more efficient ML algorithm for time series (using wavelet decomposition
  and CNN)
  • Industrialization of the ML Algorithms on the AWS Cloud (S3, SageMaker, lambda).

• AWS Cloud/Data Architect & Devops

  CMA-CGM
  aujourd'hui

  As an AWS Cloud Architect, I led the design, implementation, and management of cloud environments for
  several strategic projects. Here is a summary of key responsibilities and major achievements:
  • Development of highly scalable architectural designs on AWS, integrating best practices, business
  requirements analysis, HLD/LLD drafting, FinOps estimation, as well as definition of security and
  compliance standards.
  • Deployment of Landing Zones to establish a secure and well-managed foundation for AWS
  workloads, in compliance with company policies and regulatory requirements.
  • Facilitation of workshops and sessions with stakeholder teams to understand business needs,
  resolve issues, and foster effective collaboration.
  • Automation of deployments and operations with Terraform/Ansible, in close collaboration with
  DevOps teams to promote continuous integration and continuous deployment (CI/CD, Jenkins).
  • Collaboration with development and operations teams on GitLab and GitHub version control

• AWS Cloud & Data Architect / Devops

  aujourd'hui

  AWS Certified Solutions Architect – Professional
  AWS Certified Solutions Architect – Associate
  AWS Certified Machine Learning – Specialty
  AWS Certified Data Analytics – Specialty
  AWS Certified Security – Specialty (On going)
  platforms, for effective source code management.
  • Implementation and configuration of monitoring and alerting systems using PagerDuty to rapidly
  detect and respond to incidents and performance issues.
  • Utilization of Dynatrace and AWS CloudWatch for monitoring AWS resources, ensuring
  comprehensive visibility and proactive management of cloud environments.
  • Utilization and management of Amazon Elastic Kubernetes Service (EKS) for deployment and
  management of containerized applications in a highly available & scalable Kubernetes environment.
  • Management of Amazon Machine Image (AMI) via AMI Factory to standardize the creation and
  distribution of system images used in EC2 instance deployment.
  • Definition and enforcement of rigorous security standards, including Identity and Access
  Management (IAM), configuration and management of a Web Application Firewall (WAF), AWS
  Shield and utilization of services such as AWS Key Management Service (KMS) for data encryption.
  • Utilization of HashiCorp Vault for centralized management of secrets, keys, and access to AWS
  resources via Active Directory (AD) groups, ensuring enhanced security and compliance with
  company standards.
  • Implementation and management of a Data Lake on AWS, using services such as Amazon S3 and
  Amazon Redshift, to store and analyze data at scale.
  • Integration of the Data Lake with Snowflake for advanced data analysis and execution of complex
  queries on large datasets.
  • Creation of data pipelines for ingestion, processing and visualization of data from raw sources to
  dashboards and key performance indicators (KPIs).
  • Utilization of AWS services such as Amazon Kinesis, AWS Glue, and AWS Data Pipeline for
  implementation of data pipelines.
  • Migration of on-premises applications/data to AWS, including Oracle database migration, using
  specialized services such as Oracle GoldenGate, GoldenGate for Big Data (GGFBD), and Database
  Migration Service (DMS).
  Results: Successful migration to AWS cloud, operational and highly scalable cloud-native applications,
  reduction in infrastructure cloud costs.
  By aligning cloud architecture initiatives with the company's strategic objectives, I made significant
  contributions to its digital transformation and growth. This strategic approach resulted in substantial cost
  savings and increased operational agility