Freelancer profile translated to English.

Description

Mehdi is a technical architect (application & infrastructure) with a passion for distributed, BigData, Cloud, and IoT architectures.

• He carries out expert missions on topics related to distributed systems and data architectures using agile methodologies.

• He is involved in missions dealing with Big Data issues, new data architectures, reactive, real-time, microservices, and SOA architectures.

• Mehdi holds an engineering degree in computer science with a specialization in software engineering and a Master 2 MIAGE in distributed information systems engineering. He is also pursuing his doctorate (PhD) in the virtualization of connected objects for the composition of mobile cyber-physical systems at the LACL laboratory and PARIS EST University.

Languages

English
Fluent
French
Native or bilingual
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Axa
Senior Big Data Architect
BANKING AND INSURANCE
February 2017 - August 2018 (1 year and 6 months)
Courbevoie, France
Hadoop UNIX Spark Apache Kafka
ENGIE
Data Architect
ENERGY AND UTILITIES
July 2018 - July 2021 (3 years)
Courbevoie, France
Responsible for Big Data architectures in a hybrid & multi-cloud context (OnPrem-Azure-AWS)
Support & Advice to promote the Big Data / Cloud approach and patterns to develop high-performing use cases.
Onboarding and support for teams in the implementation of business use cases.
Collaboration with application, infrastructure, API, Security, DevOPS architects to ensure consistency of the data offering.
Collaboration with Engie Group for the evolution & improvement of data products (DataCatalog, data services, organization...).
Implementation of a set of tools to accelerate team onboarding and development, skill development, and dissemination of big data/cloud culture: Code samples, Wiki / How to, Frameworks, Workshops, best practice documents.
Collaboration for the continuous development of the data strategy and vision through the evaluation and implementation of new technologies and approaches/patterns.
Automation of standard data platform processes: FineOps & billing management, Monitoring, user & group management....
Study and implementation of several advanced topics: API on Datalake, Governance, Security, Optimization, Automation & DevOPS ...
Integration of the platform with third-party solutions: Collibra, Dataiku, PowereBI, Authentication, Splunk ...
Industrialization of solutions through DevOps and Infrastructure as Code
Industrialization of log analysis for predictive maintenance & monitoring automation, as well as proposing architectures that meet business requirements.
Optimization of big data application costs and performance
Management of development teams

Technologies: Hadoop, AWS, AZURE, Spark, Glue, S3, ATHENA, Kinesis/SNS, DMS, SageMaker, DynamoDB, Lambda, Docker, EC2, API GATEWAY, CloudFormation, DataFactory, ADLS, U-SQL, HDINSIGHT, EventHub, Scala/Python.
Amazon Web Services Spark Hadoop Docker