Description

Consultant en data, avec des experiences variées en data, developpement, et architecture cloud. Je suis spécialisé en Data Engineering (big data : Hadoop, Spark, et solutions managées) et Cloud Architecture (GCP et Azure). Je suis pret à investir de mon temps pour le succes de vos projects.

Languages

Arabic
Native or bilingual
French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

L'Oréal SA - L'Oréal France
Consultant Data Engineer
FASHION AND COSMETICS
March 2022 - Today (4 years and 3 months)
Levallois-Perret, France
Project 1: DOMO platform admin and owner of a plethora of data projects:
Designed and maintained ETL pipelines for data integration & KPIs calculation of 5 use cases using RedShift/MagicETL/MySQL engines (technical specs, data modeling, and data transformation logic)
Mentored junior developers
Led data projects maintenance and data governance (platform used by 3,000 users)

Project 2: Migration from legacy BI tools to GCP/PowerBI/Looker stack
Elaborated functional/technical specifications for 5 use cases
Contributed in building the new group data warehouse (BigQuery)
Developed different data flows and data models using Looker/PowerBI handling 100s of TBs of Social Media and Google Analytics data
Use new optimization techniques to decrease loading time by 10x for PBI dashboards in directquery mode
Google cloud SQL Big Query Python Spark SQL Amazon Redshift Extraire, transformer, charger (ETL) Microsoft Power BI DOMO
KPMG SA
Data Engineer Consultant
CONSULTING AND AUDITS
September 2020 - November 2021 (1 year and 2 months)
Paris, France

Role: Data Engineer Consultant

Context:
Data Engineer Consultant in the Analytics team of KPMG France, I worked on several missions and projects in parallel, among those project:

1. Strategy move to cloud: Arkéa (4 months)
Context:
To implement a standard (IFRS17), we needed to set up a data pipeline.
Tasks:
- Study of the existing (infra, COPEX/CAPEX, data, applications)
- Propose several solution architectures and elaborate a choice matrix
- Initiate the project corresponding to the architecture chosen by the customer
- Data migration to the cloud (GCP)
- Data governance and security management (Cloud IAM)
- Deployment of Dataiku on GKE (Kubernetes)
- Transformation of SAS scripts to Dataiku SQL/Python recipes
- Deployment of a Spark cluster for advanced calculations
Tools:
Python, SQL, PySpark, Pandas, Dataiku, Google Cloud Platform, Kubernetes, Jenkins

2. Integrator and project manager: Sanofi (8 months)
Context:
Integration of several systems (SAP, Workday, and other in-house tools) to Coupa (a procurement-to-payment solution).
Tasks:
- Design of integration interfaces
- Implementation of ETLs (interfaces) with the Informatics IICS platform (iPaaS)
- Follow-up with the Dev teams (offshore teams) on a daily basis
- Lead regular work sessions with business teams
- Develop an integration monitoring tool (Kafka, Splunk)
- Testing (unit testing, system integrations testing, UATs, and Go-Live)
- Conduct training sessions for end users
- Level 3 support during the Run phase
Tools:
Informatica iPaaS, ETL, Xquery, Splunk, Data Viz, Kafka, CI/CD, Control-M, Project Management

3. Data Engineer: Danone (3 months)
Context:
Performance analysis (promotion profitability on product combos) using big data technologies
Tasks:
- Data management in a Deltalake
- Develop an ETL (Bronze/Silver/Golden)
- Develop classification and clustering models for promotions (by product and by region) and deploy them with MLFlow
Tools:
Python, SQL, PySpark, MLFlow, Azure, Spark MLib
Big Data Data Engineer PMO Planning stratégique Spark Google cloud Amazon Web Services Microsoft Azure Data Science
Crédit Agricole SA
Data Engineer Consultant
BANKING AND INSURANCE
November 2021 - February 2022 (4 months)
Montigny-le-Bretonneux, France
Product Owner of 4 data projects as a project manager (MS BI, SSAS, SSIS, Neo4j Graph DB and other proprietary solutions)
Validated proposed architectures and ensured compliance with security rules
Negotiated with data solutions vendors and challenged them on cost, features, efficiency and maintainability
Supported live projects
Microsoft Power BI Microsoft SSIS Neo4j SQL Cloud Security Architecture SI

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Master of Science
ENSIMAG
2020
Master International en Data Science et Software Engineering à l'ENSIMAG Grenoble
Ingénieur en Informatique
Ecole Supérieure d'Informatique
2019
Ingénieur en Informatique d'une formation polyvalente et solide de 5 ans. Modules techniques (mathématiques, stats, machine learning, big data, génie logiciel, architecture,...) et de gestions et management (SI, finance, management, etc.)

Professional Cloud Architect
Google Cloud Platform
2021
Professional Data Engineer
Google Cloud Platform
2020

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Adel Gasmi

Data Engineer

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