Missions AMAZON EFS : De nombreuses offres publiées quotidiennement

Aperçu d'expériences de Hicham,
freelance AMAZON EFS habitant les Hauts-de-Seine (92)

Expériences professionnelles

2022-2024 AWS Cloud/Data Architect & Devops- CMA-CGM
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
******** Hicham
Address: ********
Tel : +33 (0)7 88 22 50 11
E-mail : ********
AWS Cloud & Data Architect / Devops
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

Since 01/2021 Cloud/Data Architect – Consultant for GrtGaz, BPI France, Total
• 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
• Environment: AWS (IAM, Kinesis, S3, DynamoDB, Transcribe, Glue, Athena, lambda, Cloud9,
python, etc.), Agile Safe

11/2019 – 11/2020 AWS Data and Cloud architect -Cosmos digital-
• 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).

10/2018 – 10/2019 Study and development engineer -Ingenico-
• 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.
• Tools: C ++, python, Linux, GIT, JIRA

Octobre 2018- Octobre
2019
Ingénieur d'étude et développement, Ingenico
• 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.
• Outils : C++, python, Linux, GIT

Avril 2017 – Septembre
2018
Intégration, développement de logiciels télécoms et automatisation des tests, Orange
• 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.
• Outils : OTIP, Eclipse, Netbeans, SVN, Java / GWT, Python, script Linux, ADB, SQL, Wireshark

Février 2013 – Mars 2017 Ingénieur d'étude et développement, Davidson Consulting
• 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.
• Outils: Linux, iTest, JSON, ADB/AT, Wireshark, VB(visual Basic), Netbeans, C++, Python

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.