Freelancer profile translated to English.
Back to original languageAbout Mohammed
I am Mohammed EL-KHOU, a DATA study and development engineer with 6 years of experience, capable of collecting, analyzing, and interpreting large sets of data, developing deep learning models, and data processing. Very comfortable with numbers and statistics, I appreciate their concrete impact. The DATA field is therefore a suitable discipline for me, requiring great attention to detail and a strong ability to work in a team. Looking for new opportunities in Data Engineering, Big Data, Cloud, AI/ML, Data Science, and Python Development.
Arabic
Native or bilingual
English
Conversational
French
Fluent
Remote only
Primarily works remotely
Experience
- RMC BFM ADSData Engineer / Cloud EngineerTELECOMMUNICATIONSJanuary 2024 - Today (2 years and 5 months)Paris, FranceData Engineer & Cloud Engineer specializing in AWS, responsible for modernizing data architectures, automating business processes, and optimizing cloud infrastructures.Maintenance and optimization of databases (AWS Athena, Oracle, PostgreSQL, SQL Server) with performance monitoring, advanced query tuning.Leading a strategic Data Warehouse migration project: replacing a legacy Talend architecture with a full Python modular solution. Design of 14 multi-source ETL modules (Oracle, PostgreSQL, Salesforce, AWS Athena).Design of AWS serverless architectures for media processing. Development of containerized AWS Lambda functions (Docker via ECR) orchestrating FFmpeg, OpenCV, and MediaInfo for BTVS compliant video transcoding. Dynamic VAST XML generation with secure storage on S3 and distribution via CloudFront. Securing REST APIs with API Gateway, Cognito, Lambda@Edge, and Origin Access Control (OAC).Audio to video automation with AWS Transcribe for AI subtitle generation, creation of enriched videos (logo overlay, dynamic QR code), S3 storage, and generation of secure URLs.Development of an advertising billing automation engine: OCR via AWS Textract, intelligent data extraction, AppNexus & FreeWheel API integration, GDPR compliance (IAB TCF), SHA256 hashing, and compliant storage.Setup of a secure and scalable AWS infrastructure: VPC, NAT Gateway, IAM, secrets management, CloudFormation deployment, CI/CD, Lambda@Edge versioning.Implementation of an AWS cost observability and optimization pipeline: CloudWatch collection, transformation into partitioned Parquet, analysis via Athena, anomaly detection, and automated reporting.Development of a media program matching solution (replay vs live) using LLM agents via AWS Bedrock.
- BPCE-ITBig Data DeveloperTECHAugust 2022 - January 2024 (1 year and 5 months)Villeneuve-d'Ascq, France- Missions and Tasks:- Strengthening the team on Big DATA technologies to ensure the operation of the existing system (Cloudera).- Development and maintenance of ETL pipelines to extract, transform, and load large volumes of data from different sources into the BPCE-IT data lake.- Collaboration with data scientists, analysts, and other stakeholders to identify data-driven insights that can inform business decisions.- Ensuring data quality and accuracy by developing and implementing data governance policies and procedures.- Optimizing Big Data solutions in terms of performance, scalability, and cost-effectiveness.- Automating workflows and data pipelines using Python.- Production monitoring: tracking and maintenance of the current system.- Developing technical concept documents and specifications integrating best practices and standards for data pipeline development and big data processing.- Working within an agile team applying Scrum and agile development.- Environment:- Unix/Linux, Python (Jupyter, Vs-Code), Cloudera, Hadoop, Hive, HDFS, Spark, Scala, PySpark, shell scripting, Oracle, VTOM (Visual TOM), JIRA.
- IMPERIUMData Engineer | R&D Machine Learning EngineerPRESS AND MEDIAJune 2021 - August 2022 (1 year and 2 months)Casablanca, Morocco- Missions and Tasks:- Discuss technical and design issues with other developers, managers, users, or clients as needed to achieve the best solution.- Implement or lead the implementation of complex solutions with minimal technical debt. Develop solutions that are easy to deploy, maintain, and bug-free.- Fully participate in the development process throughout the software lifecycle.- Migrate legacy infrastructure (running on older, sometimes obsolete languages to Python 3.8).- Handle monitoring and maintenance of the current system.- Improve or create data analysis solutions.- Develop Desktop applications with PyQt5 for internal use.- Develop technical design documents and specifications that integrate development standards and best practices for Data Pipeline and Big Data development.- Expertly use distributed/parallel processing for the design and development of data pipeline solutions.- Work in an agile team applying Scrum and agile development.- Design and implement workflows using Python to perform ETL.- Perform data set analysis and discover insights.- Environment:- Unix/Linux, Python (Jupyter, Vs-Code), Docker, Docker-compose, Kubernetes, MySQL, PostgreSQL, SQL Server, Slack, Elasticsearch, Kibana...
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Education
- Master 2: Data Science and Artificial IntelligenceInstitut Galilée of Paris Nord University Sorbonne2020Cette formation offre une double diplômation entre l’Université Sidi Mohamed Ben Abdellah de Fès et l’Université de Paris 13 (France). Ce partenariat international bénéficie en 2018-2020 pour son lancement d’une aide financière européenne ERASMUS+ « Mobilité internationale de crédits ». Contenu de la formation M2 : M1 : Anglais II M2 : Web mining & Image mining M3 : Data Mining (en partenariat avec UP 13) M4 : Data Warehouse (en partenariat avec UP 13) M5 : Business intelligence (en partenariat avec UP 13) M6 : Machine learning (en partenariat avec UP 13) Semestre 4: STAGE ou MEMOIRE
- Master: Web Intelligence and Data ScienceSidi Mohammed Ben Abdellah University2020Le master de recherche WISD vise à donner aux étudiants une formation approfondie dans les domaines liés à l’informatique et la science des données. Elle regroupe ses cours en des agencements cohérents allant des fondements de la discipline jusqu'aux techniques les plus avancées; mais aussi des enseignements complémentaires pour une meilleure intégration des étudiants au sein des entreprises. Cette formation offre une double diplômation avec le Master Informatique : (Master Sciences des Données et Intelligence Artificielle «EID² ») entre l’Université Sidi Mohamed Ben Abdellah de Fès et l’Université de Paris 13 (France).
Certifications
- Neural Networks and Deep Learningdeeplearning.ai2020
- Data Analysis TrackOne Million Arab Coders, Udacity2020