About Anass
Arabic
Native or bilingual
English
Fluent
French
Fluent
Experience
- MICROPOLEExternal Consultant Data Engineer \ EPSABANKING AND INSURANCEFebruary 2025 - Today (1 year and 4 months)Paris, France- Implementation of a complete automation system for the deployment, installation, configuration, management, and monitoring of Informatica Cloud Secure Agent on a Linux VM hosted in Azure, within an Azure DevOps CI/CD environment.- Configuration and implementation of Azure DevOps with Informatica Cloud for Git actions.- Automated deployment with Azure DevOps: migration of content from the DEV branch to the PROD branch in Informatica Cloud (CI/CD).- Development of PGP encryption pipelines and secure document transfer to SFTP with renaming based on a UID, on the Mass Ingestion File service.- Development and automation of a process for transferring and integrating talent and CV profile data from the SmartRecruiter API to the Whoz API via a workflow on Informatica Cloud Application Integration, by configuring CRUD operations to ensure smooth communication between APIs, secure integration, and optimize staffing management.- Creation and optimization of ETLs for loading data into PostgreSQL tables using ELT mode (Pushdown Optimization).- ETL & Mappings Development with Informatica Cloud.- Intelligent Data Management.- **Tools**: Informatica Cloud (IICS, IDMC), Microsoft Azure, Azure DevOps, PostgreSQL, Postman.- **Programming Languages**: SQL, Python, XQuery, Yaml, Shell, Batch.- **Techniques**: Cloud Data Integration, Mass Ingestion, Cloud Data Governance and Catalog, Cloud Data Quality, Databricks, Data Factory, Apache Spark, MLflow, DataLake, Azure Blob Storage, Cloud Application Integration, Cloud Administrator Service, Monitoring, Web Service, REST API, Swagger Files, CI/CD, Pushdown Optimization, ELT, Pipeline yaml.
- VISEOExternal Consultant Data Engineer \ Lindt & Sprüngli (CH) - LOT2AGRICULTURENovember 2024 - January 2025 (3 months)Toulouse, France
- Adjustment and optimization of existing ETL flows to integrate new data structures while ensuring data consistency.
- Addition of branches and update of mappings to support evolving schemas and ensure smooth synchronization between SAP, MDM, Devex (webservice), and an API (Salsify).
- Validation of data flows and quality assurance – Testing of modified mappings and implementation of quality controls to ensure data consistency and integrity throughout the ETL process.
- Optimization of ETL pipeline performance and impact analysis – Optimization of ETL pipelines to improve performance despite increasing data volume, and conducting impact analyses to identify and mitigate risks associated with schema changes.
- Analysis and correction of anomalies detected during data flow testing phases.
- **Tool**: Informatica Cloud, Postman, SOAP UI.
- **Programming Language**: JAVA, SQL, JSON, XML.
- **Techniques**: Cloud Data Integration, MDM, Administrator, Data Quality, Data Profiling, Web service, REST API V2, Swagger Files, Application Integration.
- VISEOExternal Consultant Data Engineer / Hygie31 GroupHEALTH AND WELLNESSNovember 2023 - Today (2 years and 7 months)Toulouse, France
- Data Platform Modernization: From On-Premises structure to cloud architecture with Snowflake, Azure, and Informatica.
- Migration of Microsoft SQL Server databases to the Snowflake cloud environment.
- Configuration and Setup of Azure DevOps with Informatica Cloud (GIT).
- Automated Deployment with Azure DevOps: Migration of content from the DEV branch to the PROD branch in Informatica Cloud (CI/CD).
- Creation of Swagger Files for Simplified Interaction with APIs via REST v2 using a Web Service (Informatica).
- Configuration of Google Analytics GA4 Integration with Informatica Cloud Using a Service Account JSON on GCP.
- Setup of a Connection with an Azure Blob Storage Data Lake stage to Extract Compressed CSV Files in ZIP format, Decompress them, and Load their Content into Snowflake Tables. After each file retrieval operation, file archiving is performed using Informatica Cloud's mass ingestion service.
- Evaluation, Testing, and Implementation of ESB functionalities with Informatica Cloud's Cloud Application Integration and API Manager services.
- ETL and Mappings Development with Informatica Cloud.
- Deconstructing SQL queries to transform them into data flows on the Informatica Cloud platform.
- Intelligent Data Management.
- **Tool**: Informatica Cloud, Snowflake, SSIS ETL, SSMS, Azure DEVOPS, Postman, Google Analytics Platform (GA4), Google Cloud Platform (GCP).
- **Programming Language**: JAVA, SQL, Python, JSON, XML.
- **Techniques**: Cloud Data Integration, Mass Ingestion, Cloud Application Integration, API Manager, Application Integration Console, Cloud Data Quality, Cloud Administrator service, Monitor service, Data profiling, Web service, REST API V2, Swagger Files, CI/CD, Pushdown Optimization, ELT, Pull Request.
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Education
- Master 2 (M2) in Decision Informatics - Optimization and Algorithmic Option (OPAL)Université de Lorraine UFR-MIM2022Master 2 (M2) Informatique Décisionnelle - Option Optimisation et Algorithmique (OPAL)
- Engineering Cycle: Data and Knowledge EngineeringÉcole des Sciences de l'Information2021Cycle d’ingénieur : Génie des données et des Connaissances
Certifications
- Cloud Data Integration Developer R41, Informatica Certified ProfessionalInformatica University2023
- Talend Data Integration Developer PractitionerTalend Academy2022