Freelancer profile translated to English.
Back to original languageAbout Hajlaoui
Consultant with 6 years of experience. I participated in the design and implementation of AI/Big Data solutions in legacy (Hadoop & Spark) and Cloud environments (Google Cloud Platform and Amazon Web Services) for migration projects with CI/CD pipelines for continuous integration and delivery DevOps/DataOps practices.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- ORANGECloud DataOps EngineerTELECOMMUNICATIONSApril 2023 - November 2024 (1 year and 7 months)Châtillon, France- Participation in project scoping for specific international client needs- Collaboration with business teams to define Data Quality requirements- Definition of a GCP MLOPS architecture for deploying Data Analytics pipelines- Creation of the project's landing zone using Terraform- Continuous integration/deployment with Gitlab, Workload Identity Federation, Cloud Build- Migration and benchmarking of on-premise pipelines to GCP MLOPS- Migration of a Web Application associated with the GCP application using Identity Aware Proxy- Validation of qualification tests for migrated pipelines- Leading architecture workshops and release demonstrations- Supporting data engineers/scientists in upskilling on GCP/MLOPS- Technical and functional project documentation- Participation in the creation of the strategic Cloud Data AI planTechnical environment: Cloud provider: GCP: GCS, BigQuery, Vertex AI, Kubeflow, Cloud Run, Mysql, Python, Terraform, Cloud Build.
- bpifranceAWS Cloud Data EngineerBANKING AND INSURANCEOctober 2022 - March 2023 (6 months)Paris, FranceMove2Cloud Project:The project's goal is to leverage investment counter data by migrating an existing datalake on a legacy environment developed in Matillion with Redshift to the AWS Cloud.Within a SAFE Agile train "Millenium", in a team of 8 people, I was responsible for:- Big Data design with DataVault and Delta Lake- Implementation of OLAP transformations using Pyspark- Implementation of file ingestion monitoring using boto3 on Athena- Migration of Matillion jobs to AWS Glue (Spark)- Orchestration of jobs with Airflow- Evolution, Refactoring, and Unit Tests of the migration framework- Development and execution of data migration acceptance tests- Creation and evolution of project deliverables (models, mapping files, releases, etc.)- Scoping and Data Ops practices for infrastructure as code management (Terraform, Kubernetes, Jenkins)- Contribution to the implementation of the Big Data exploitation strategy
- RenaultGCP Cloud Data EngineerAUTOMOBILESeptember 2021 - September 2022 (1 year and 1 month)Plessis robinson Paris FranceCANOPE Project:Within the quality division of the Renault group, the objective is to improve user experience and customer satisfaction. To achieve this, the CANOPE project was initiated to predict vehicle failures and identify their causes, as well as the processes and modalities of repair (maintenance, manufacturer recall, etc.).Within an agile team of 10 members, I was responsible for:- Understanding, gathering requirements, and project scoping- Supporting Product Owners in implementing use cases- Participating in the validation of the target technical architecture- Migrating Hadoop On-premise applications to the Google Cloud Platform Cloud- Provisioning resources using Terraform- Preparing and querying data using BigQuery- Developing ETL pipelines in Apache Beam/Dataflow- Maintaining existing data pipelines on Dataproc- Refactoring Dags for migration from Composer 1 to Composer 2- Scheduling parameterized Dags using Airflow/Composer- Practicing Data Ops and continuous integration (CI/CD)- Applying security and permissions for data pipelines- Collaborating with data scientists to develop MLOPS pipelines- Practicing Agile methodology - Scrum/Kanban with Jira- Updating documentation using Confluence- Coaching and supporting Junior Data Engineers
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Education
- Phd, Computer SciencesUniversity of Lyon 12018
- DevOps TrainingEasytraining2021Réalisation de projets DevOPS - Docker : Conteneurisation d’une application web (frontend et backend) à l’aide du Dockerfile et Docker-compose. https://github.com/Jaleleddine/dockerized_posos - Kubernetes : Déploiement de l’application Wordpress avec Kubernetes https://github.com/Jaleleddine/k8s_wordpress_mysql_project/blob/master/wordpress.yml - Ansible : Mise en place des Rôles Ansible pour déployer un container Apache sur une machine distante. https://github.com/Jaleleddine/ansible-labs - Terraform : Mise en place des Modules Terraform pour déployer sur AWS, une instance EC2, un security group, un Elastic IP et un volume EBS. https://github.com/Jaleleddine/terraform-labs-AWS.git - Jenkins : Mise en d’une chaine d’intégration CI-CD à l’aide de Jenkins qui permet de builder, tester et déployer une application web sur le Cloud Heroku. https://github.com/Jaleleddine/youtube-jenkins-labs0 -Gitlab-CI: Mise en place d’un pipeline CI-CD sur le Cloud Heroku https://gitlab.com/hajlaoui/miniprojet/-/tree/main?ref_type=heads
Certifications
- Certified Kubernetes Cloud Native AssociateLinux Foundation2022
- Airflow Certified Apache Airflow FundamentalsAstronomer.io2022