About Mouhamed Cheikh
- **A Big Data Analytics pillar**: Development, automation, and operational maintenance of data pipelines in big data environments such as Hadoop, Spark, and NoSQL.
- **A Data Science & AI pillar**: Creation of ML models, from requirement definition to model deployment, to bring real value to the client.
- **A Cloud pillar**: Design of cloud architectures and support for teams in deploying all their data use cases in the cloud and leveraging its full benefits.
- AWS Certified Solution Architect Associate (**AWS**)
- CCA 175 Spark & Hadoop Developer Certified (**Cloudera**)
- GCP Professional Data Engineer (**Google Cloud**)
- GCP Associate Cloud Engineer (**Google Cloud**)
- Elastic Certified Engineer (**Elastic Stack**)
French
Native or bilingual
English
Fluent
Experience
- Société GénéraleTech Lead Data ConsultantBANKING AND INSURANCEApril 2023 - September 2023 (5 months)Paris, FranceTech Lead Data within the RFC"Financial Risk & Compliance" team.My responsibilities include:
- Studying and validating the data architecture of projects.
- Developing big data applications (scala/python/hql)
- Maintaining data pipelines in operational condition. (France and Monaco Network)
- Industrializing data projects end-to-end.
- Managing and maintaining CI/CD chains. (Git, Jenkins, Maven, Ansible...)
- Optimizing Spark jobs (Execution plan, resource configuration...)
- Piloting the delivery of regulatory information (ECB)
- Supporting the team on development best practices.
- Société GénéraleCloud & Big Data Engineer ConsultantBANKING AND INSURANCEOctober 2021 - April 2023 (1 year and 6 months)Paris, FranceTech Lead Datawithin the UBM team (**Usage Big Data and Machine Learning**) for themarketingscope of Société Générale.My responsibilities included:
- Developing data pipelines (Pyspark/Scala).
- Ensuring end-to-end deployment of data projects.
- MaintainingBig Data and Machine Learningprojects in operational condition for marketing use cases.
- Implementing a recommendation system.
- Migrating existing projects to a **modern Big Data platform**.
- Industrializing and scheduling workflows. (control-m)
- Managing the CI/CD chain (Jenkins, Ansible, Git, Maven...).
- Studying and implementing anMLOpschain. (MLflow)
- Technical, functional, and banking homologation of projects.
- Data anonymization.
- Automation of Data Quality.
- Implementing a secure inter-environment data transfer system (**AWS S3**).
- Leading a workshop during the "**BIG DATA & AI PARIS**" trade show (2022).
- ORANGEData Engineer ConsultantTELECOMMUNICATIONSFebruary 2020 - September 2021 (1 year and 8 months)Dakar, SenegalBig Data Analytics for Orange's telephone network KPIs
- Calculation of Business KPIs via Scala pipelines (Hadoop/Spark)
- Optimization of Spark jobs (Execution plan, used resource configuration…)
- Industrialization and scheduling of workflows on oozie
- Participating in code reviews, guiding the team in engineering best practices
- Implementation of a Data Quality and Reporting solution
- Monitoring and Reporting of Spark jobs and data availability (ElasticSearch and Grafana)
- Setup of a SAS Viya cluster
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Certifications
- Elastic Certified EngineerElastic2019