Mohammed EL-KHOU

Professional Experience

My career journey

Data Engineer / Cloud Engineer (AWS)

RMC BFM ADS (Altice Media) - Paris, France

01/2024 - Present

Key Responsibilities:

Database Maintenance: Performance monitoring of AWS Athena, SQL Server, Oracle, PostgreSQL. Proactive resolution of performance, security, and reliability issues.
ETL Management (Talend): Daily management of ETL workflows, debugging, optimization, and creation of new routines with advanced Data Science techniques.
Data Warehouse Migration: Led complete Python-based ETL architecture replacing legacy Talend infrastructure. Developed 14 modular ETL modules achieving 80% processing time reduction.
Video Transcoding Platform: Built serverless solution using AWS Lambda, Docker, FFmpeg for advertising video processing with VAST XML generation.
Audio-to-Video Conversion: Automated video creation from audio files using AWS Transcribe for French subtitles and FFmpeg for MP4 generation.
Advertising Billing Automation: Developed reconciliation engine using AWS Textract OCR and AppNexus/FreeWheel APIs integration.
AWS Cost Analysis Pipeline: Built CloudWatch logs analysis system with Athena and Parquet storage for cost optimization.

Python AWS Talend Oracle PostgreSQL Docker Lambda S3 Athena

Big Data Engineer

BPCE-SI - Lille, France

08/2022 - 01/2024

Context: Design, development and management of Big Data pipelines for all Caisse d'Epargne Ile de France divisions.

Key Achievements:

Strengthened team expertise in Big Data technologies, particularly Cloudera
Developed and automated ETL pipelines for Hadoop Datalake (Hive, HDFS) from Oracle databases
Collaborated with data scientists for business intelligence insights
Implemented data governance policies ensuring quality and accuracy
Automated data pipelines using Python, Shell, Spark/Scala, and PySpark
Led Cloudera to GCP migration with dual RUN implementation
Optimized Big Data solutions for performance, scalability, and cost-effectiveness

Results: Significant improvement in data availability, reduced processing times, increased data quality, and infrastructure cost reduction.

Cloudera Hadoop Spark Scala PySpark Oracle GCP BigQuery VTOM

R&D Data Engineer / Machine Learning Engineer

IMPERIUM - Casablanca, Morocco

09/2021 - 08/2022

Context: Production deployment of AI solutions in multimedia domain, handling unstructured/semi-structured data with resource management and automation.

Key Projects:

Infrastructure Modernization: Implemented microservices for AI model integration using Docker containers
Training Pipeline Structuring: Converted Jupyter notebooks to structured OOP project with multiprocessing, multithreading, and GPU parallelization
Desktop Applications: Created PyQt5 applications for internal use
End-to-End Web Mining: Built microservices architecture for news sites scraping, crawling, transformation, and storage with PostgreSQL

Results: Achieved near real-time predictions through multiprocessing implementation with continuous batch processing despite limited resources.

Python Docker Kubernetes PostgreSQL Elasticsearch Airflow PyQt5

ML/AI Developer & Data Scientist

3W Media - Imperium - Casablanca, Morocco

03/2020 - 09/2021

Major Projects:

Speech Transcription: Automated speech-to-text conversion using offline recognition for 17 languages and dialects
Audio Fingerprinting: Advertisement spot identification and search using Landmark-based audio fingerprinting
Speaker & Gender Detection: ASR system for large-scale audiovisual monitoring with gender equality insights
Social Media Analytics: Topic detection and sentiment analysis for Moroccan news using Twitter API and web scraping
Face Recognition System: End-to-end facial recognition and attribute analysis (age, gender, emotion, race) using state-of-the-art models
Multilingual Dictionary: Alternative to alphabetical dictionary with semantic grouping and structural hierarchies
Object Detection: Brand and logo detection in advertising screens, billboards, and newspapers using YOLO, RetinaNet, Faster R-CNN

TensorFlow PyTorch OpenCV YOLO NLTK Scrapy Flask MySQL

Skills & Technologies

My technical expertise

Programming Languages

Python

98%

Scala

90%

SQL

95%

Java

85%

Cloud & Big Data

Amazon Web Services

Athena, S3, Lambda, API Gateway, EC2, ECR, Route 53, Glue, IAM, CloudFront, Cognito, CloudWatch, Transcribe, Textract

95%

Big Data Stack

Spark, Hadoop (HDFS, Hive, HBase, Pig, Storm), Cloudera

92%

Google Cloud Platform

BigQuery, Cloud Storage, Dataflow, Pub/Sub

88%

ETL & Data Pipelines

Talend, Airflow, VTOM, Custom Python ETL

96%

Python Ecosystem

Data Science

PySpark, Numpy, Pandas, SciPy, Matplotlib, Seaborn

95%

Machine Learning

Scikit-Learn, TensorFlow, Keras, PyTorch

92%

NLP & Text Processing

NLTK, SpaCy, Gensim, BERT

88%

Web & APIs

Flask, SQLAlchemy, Requests, Selenium, boto3

90%

Database Technologies

SQL Databases

Oracle, PostgreSQL, MySQL, SQL Server, Salesforce

95%

NoSQL Databases

Redis, Elasticsearch, Solr

85%

DevOps & Infrastructure

Containerization

Docker, Kubernetes, VMware

90%

Monitoring & BI

Grafana, Kibana, Power BI

85%

Version Control & CI/CD

Git, GitHub, Bitbucket, JIRA

92%

Operating Systems

Linux (Debian, CentOS), Windows Server, Unix

88%

Professional Skills

Analytical Thinking

Strong analytical mindset with problem-solving capabilities

Team Leadership

Experience leading technical teams and mentoring junior developers

Communication

Excellent communication skills and client relationship management

Fast Learning

Quick adaptation to new technologies and methodologies

Project Management

Agile/Scrum methodology expertise with strong organizational skills

Priority Management

Reactive approach with excellent sense of priorities

Technical Expertise & Achievements

Deep dive into my technical mastery and professional accomplishments

AWS Cloud Architecture & Engineering Excellence

Serverless Computing Mastery

Lambda Functions: Architected 25+ production Lambda functions processing 10M+ requests monthly

Containerized Lambda with Docker for FFmpeg video processing (2GB memory, 15-minute timeout)
Lambda@Edge for global content delivery optimization (sub-100ms response times)
Event-driven architectures with S3, SQS, SNS integration
Cost optimization achieving 70% reduction through right-sizing and scheduling

API Gateway: RESTful and WebSocket APIs with custom authorizers, request/response transformation

Step Functions: Complex workflow orchestration for multi-step data processing pipelines

Data Services & Analytics

Amazon Athena: Petabyte-scale query optimization, partitioning strategies, cost control

Columnar storage with Parquet format reducing query costs by 85%
Advanced SQL optimization techniques (window functions, CTEs, complex joins)
Automated data cataloging with AWS Glue crawlers
Query result caching and lifecycle management

S3 Advanced: Multi-region replication, lifecycle policies, event notifications, security controls

CloudWatch: Custom metrics, log insights, automated alerting, cost anomaly detection

Security & Compliance

IAM Expertise: Least privilege access, cross-account roles, SAML federation

Custom IAM policies with condition-based access control
Service-linked roles and resource-based policies
AWS Organizations SCPs for governance at scale
Secrets Manager integration for credential rotation

VPC Networking: Multi-AZ architectures, NAT gateways, security groups, NACLs

Encryption: KMS key management, envelope encryption, data-at-rest and in-transit protection

Big Data Engineering & Distributed Systems

Apache Spark Ecosystem

Spark Core: RDD transformations, actions, broadcast variables, accumulators

Custom partitioning strategies for optimal data distribution
Memory management and garbage collection tuning
Dynamic resource allocation and adaptive query execution
Catalyst optimizer understanding for query performance

Spark SQL: DataFrame/Dataset APIs, complex window functions, user-defined functions (UDFs)

Spark Streaming: Real-time data processing with micro-batching and structured streaming

MLlib: Distributed machine learning algorithms, feature engineering pipelines

Hadoop Ecosystem Mastery

HDFS: Block replication, rack awareness, federation, high availability

Cluster sizing and capacity planning for PB-scale storage
Data locality optimization and hotspot mitigation
Backup and disaster recovery strategies
Performance tuning (block size, replication factor)

Hive: Complex HiveQL queries, partitioning, bucketing, ORC/Parquet optimization

HBase: NoSQL database design, row key optimization, region splitting

Cloudera: Cluster management, security (Kerberos), resource management (YARN)

Stream Processing & Real-time Analytics

Apache Kafka: Topic design, partitioning strategies, consumer group management

Kafka Connect for data integration with external systems
Schema Registry for Avro/JSON schema evolution
Kafka Streams for stream processing applications
Monitoring and alerting with JMX metrics

Apache Storm: Topology design, spouts, bolts, guaranteed message processing

Real-time Dashboards: Grafana, Kibana integration with streaming data

Advanced Programming & Software Engineering

Python Mastery

Advanced Python: Metaclasses, decorators, context managers, async/await patterns

Multiprocessing and multithreading for CPU/IO-bound tasks
Memory profiling and performance optimization
Custom data structures and algorithm implementations
Package development and distribution (PyPI)

Data Science Stack: NumPy vectorization, Pandas optimization, SciPy statistical functions

Web Frameworks: Flask/FastAPI for REST APIs, SQLAlchemy ORM, Celery for task queues

Scala & Functional Programming

Scala Expertise: Case classes, pattern matching, higher-order functions, implicits

Akka actors for concurrent and distributed systems
Cats/Scalaz for functional programming abstractions
SBT build tool and dependency management
Integration with Spark for high-performance data processing

Functional Paradigms: Monads, functors, immutable data structures

Database Systems

SQL Mastery: Complex queries, window functions, CTEs, query optimization

Oracle: PL/SQL, partitioning, materialized views, RAC
PostgreSQL: Extensions, JSONB, full-text search, replication
SQL Server: T-SQL, SSIS, columnstore indexes
Performance tuning: indexing strategies, execution plans

NoSQL: Elasticsearch aggregations, Redis data structures, document modeling

Machine Learning & AI Engineering

Deep Learning Frameworks

TensorFlow/Keras: Custom layers, training loops, distributed training, TensorBoard

Model optimization: quantization, pruning, knowledge distillation
TensorFlow Serving for production model deployment
TensorFlow Extended (TFX) for ML pipelines
GPU optimization with CUDA and cuDNN

PyTorch: Dynamic computation graphs, custom datasets, distributed training

Model Deployment: ONNX conversion, TensorRT optimization, edge deployment

Computer Vision Excellence

Object Detection: YOLO, R-CNN family, SSD, RetinaNet implementation and optimization

Custom dataset creation and annotation workflows
Data augmentation strategies for improved generalization
Transfer learning and fine-tuning techniques
Real-time inference optimization (TensorRT, OpenVINO)

Image Processing: OpenCV advanced techniques, morphological operations, feature extraction

Face Recognition: Multi-model ensemble approaches, embedding optimization

Natural Language Processing

Transformer Models: BERT, GPT, T5 fine-tuning and deployment

Attention mechanisms and positional encoding
Multi-language model adaptation
Sentiment analysis and topic modeling
Named entity recognition and relation extraction

Text Processing: NLTK, spaCy, Gensim for advanced text analytics

Speech Processing: ASR systems, audio feature extraction, speaker recognition

DevOps & Infrastructure Engineering

Containerization & Orchestration

Docker Mastery: Multi-stage builds, layer optimization, security scanning

Custom base images and distroless containers
Docker Compose for local development environments
Container registry management (ECR, Docker Hub)
Resource limits and health checks

Kubernetes: Pod design, services, ingress, persistent volumes, RBAC

Helm Charts: Template development, dependency management, release management

CI/CD & Automation

GitHub Actions: Workflow automation, matrix builds, custom actions

Automated testing pipelines with pytest, coverage reporting
Security scanning with Snyk, CodeQL
Multi-environment deployments with approval gates
Artifact management and versioning strategies

Infrastructure as Code: CloudFormation, Terraform for reproducible deployments

Configuration Management: Ansible playbooks, environment-specific configurations

Monitoring & Observability

Metrics & Alerting: Prometheus, Grafana, custom dashboards, SLA monitoring

Application performance monitoring (APM)
Log aggregation and analysis (ELK stack)
Distributed tracing with Jaeger/Zipkin
Incident response and post-mortem analysis

Cost Optimization: Resource utilization analysis, rightsizing recommendations

Education & Certifications

Academic background and professional development

Academic Education

2020

Master 2: Data Science & Artificial Intelligence

Institut Galilei, Université de Sorbonne Paris Nord - Paris, France

Advanced specialization in AI, Machine Learning, and Data Science methodologies

2020

Master: Web Intelligence & Data Science

Université Sidi Mohammed Ben Abdellah - Fès, Morocco

Two-year comprehensive training in development, big data processing, data science, and artificial intelligence

2018

Bachelor: Mathematics & Computer Science

Université Sidi Mohammed Ben Abdellah - Fès, Morocco

Fundamental studies in mathematical sciences and computer science

2017

DEUG: Mathematics & Computer Science

Université Sidi Mohammed Ben Abdellah - Fès, Morocco

General university studies diploma in mathematical sciences and computer science

2015

Baccalauréat: Mathematical Sciences - Series B

Lycée EL ADARISSA - Fès, Morocco

Arabic

Native

French

Fluent

English

Professional

Featured Projects & Technical Achievements

Comprehensive portfolio of enterprise-scale solutions

Current Role: RMC BFM ADS (Altice Media) - Advanced Cloud & Data Engineering

Serverless Media Processing

Enterprise Video Transcoding & VAST Generation Platform

Challenge: Process thousands of advertising videos daily with strict broadcast standards (BTVS: 1920×1080, 50fps, -24 LUFS) while ensuring scalability and cost-effectiveness.

Technical Implementation:

Serverless Architecture: Designed containerized AWS Lambda functions using Docker for FFmpeg, OpenCV, and MediaInfo integration
Video Processing Pipeline: Automated transcoding with quality validation, duration correction, and format standardization
VAST XML Generation: Dynamic creation of Interactive Advertising Bureau (IAB) compliant VAST tags with S3 integration
Security & Distribution: Implemented AWS Cognito authentication, Lambda@Edge for edge computing, and CloudFront OAC for content protection
Monitoring & Analytics: Real-time event tracking for advertising campaign performance metrics

Business Impact:

Reduced video processing time by 75% through parallel serverless execution
Achieved 99.9% uptime with automatic scaling and fault tolerance
Decreased operational costs by 60% compared to traditional server-based solutions
Enabled real-time advertising content delivery across multiple channels

AWS Lambda Docker FFmpeg OpenCV CloudFront API Gateway S3 Cognito

Data Warehouse Migration

Enterprise ETL Architecture Modernization

Challenge: Replace legacy Talend infrastructure with modern Python-based ETL system while maintaining data integrity and improving performance.

Technical Architecture:

Modular Design: Developed 14 specialized ETL modules (core, db, helpers, tools) for multi-source integration
Data Sources: Oracle, PostgreSQL, Salesforce, AWS Athena with unified connection management
Performance Optimization: Eliminated CSV intermediary files, implemented pickle serialization for 80% speed improvement
Error Handling: Robust logging system with structured error tracking and automatic retry mechanisms
Incremental Loading: Configurable delta processing with change data capture (CDC) capabilities

Business Results:

Eliminated €50K+ annual Talend licensing costs
Reduced data processing time from 8 hours to 1.5 hours daily
Improved data quality with 99.95% accuracy rate
Enhanced maintainability with open-source Python ecosystem

Python 3.9+ Oracle PostgreSQL Salesforce AWS Athena Pickle Logging

AI-Powered Media Generation

Intelligent Audio-to-Video Conversion with AI Transcription

Challenge: Automate video content creation from audio files for media campaigns with French subtitle generation and brand integration.

AI & Automation Features:

Speech Recognition: AWS Transcribe integration for accurate French language transcription
Video Generation: Automated MP4 creation with synchronized audio-visual elements
Brand Integration: Dynamic logo overlay and QR code generation for campaign tracking
Content Distribution: Automated S3 storage with secure URL generation for multi-platform delivery
Quality Assurance: Automated validation of audio-video synchronization and subtitle accuracy

Technical Innovation:

Reduced manual video production time by 90%
Achieved 95% transcription accuracy for French content
Enabled scalable content creation for multiple campaigns simultaneously
Integrated campaign tracking through dynamic QR codes

AWS Transcribe FFmpeg Python S3 Lambda Computer Vision

BPCE-SI - Enterprise Big Data Engineering

Big Data Infrastructure

Enterprise Hadoop Data Lake & Cloud Migration

Scope: Managed Big Data pipelines for all Caisse d'Epargne Ile de France divisions, processing terabytes of financial data daily.

Technical Leadership:

Cloudera Expertise: Led team strengthening on Cloudera platform, optimizing Hadoop ecosystem performance
ETL Pipeline Development: Automated data ingestion from Oracle databases to Hadoop Data Lake (HDFS, Hive)
Spark/Scala Development: Built high-performance data processing applications with PySpark and Scala
Cloud Migration: Orchestrated dual-run migration from Cloudera to Google Cloud Platform (BigQuery)
Data Governance: Implemented comprehensive data quality policies and monitoring systems

Business Impact:

Improved data availability from 85% to 99.5%
Reduced processing times by 65% through optimization
Decreased infrastructure costs by 40% post-migration
Enhanced data quality with automated validation frameworks

Cloudera Hadoop Spark Scala PySpark GCP BigQuery Oracle

Machine Learning & AI Engineering Portfolio

Computer Vision

Advanced Object Detection & Brand Recognition System

Objective: Develop state-of-the-art object detection system for brand logos and advertisements across TV, billboards, and print media.

Technical Excellence:

Algorithm Comparison: Comprehensive evaluation of YOLO, RetinaNet, Faster R-CNN, Mask R-CNN, and Cascade Mask R-CNN
Data Pipeline: End-to-end pipeline from social media scraping to production deployment
Data Augmentation: Innovative augmentation strategies specifically designed for object detection challenges
Model Training: Custom training pipelines for object detection and instance segmentation
Production API: Flask-based REST API for real-time model inference

Performance Achievements:

Achieved 94.2% mAP (mean Average Precision) on custom dataset
Reduced inference time to 45ms per image on GPU
Successfully deployed to production serving 10K+ requests daily
Trained team of 5 data annotators for consistent labeling quality

PyTorch YOLO Detectron2 OpenCV Flask Docker Selenium

Natural Language Processing

Social Media Intelligence & Sentiment Analysis Platform

Mission: Analyze Moroccan social media trends, detect emerging topics, and perform sentiment analysis on French content at scale.

Advanced NLP Techniques:

Topic Modeling: BERT-based topic detection for real-time trend identification
Sentiment Analysis: Custom French language sentiment classifier with 91% accuracy
Big Data Processing: Real-time processing of 100+ articles from multiple sources daily
Feature Engineering: Word2Vec, TF-IDF, and Bag-of-Words implementations for text representation
Scalable Architecture: Kubernetes deployment with auto-scaling capabilities

Technical Innovation:

Processed 50K+ social media posts daily with 95% uptime
Achieved 89% accuracy in French sentiment classification
Reduced topic detection latency to under 2 seconds
Enabled real-time dashboard for trend monitoring

BERT NLTK Scikit-learn Twitter API Scrapy PostgreSQL Kubernetes

Biometric AI

Multi-Model Face Recognition & Attribute Analysis System

Innovation: Hybrid framework integrating multiple state-of-the-art face recognition models for comprehensive facial analysis.

Model Integration:

Multi-Model Architecture: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace, Dlib, SFace
Attribute Analysis: Age estimation, gender classification, emotion recognition, and ethnicity detection
Performance Optimization: GPU parallelization and multiprocessing for real-time inference
Scalable Deployment: Containerized solution with automated scheduling via cron jobs
Data Management: Elasticsearch integration for efficient face embedding storage and retrieval

Performance Metrics:

Achieved 99.1% face recognition accuracy on LFW dataset
Processed 1000+ faces per minute with GPU acceleration
Reduced false positive rate to 0.1% through ensemble methods
Deployed across multiple production environments

TensorFlow Keras OpenCV Dlib GPU Computing Elasticsearch Docker

Professional Achievements & Impact Metrics

Quantified results and recognition across my career

Performance & Optimization Achievements

80%

ETL Processing Time Reduction

Achieved through Python-based architecture replacing legacy Talend infrastructure

€50K+

Annual Cost Savings

Eliminated Talend licensing costs through open-source Python solutions

99.9%

System Uptime

Serverless video processing platform with automatic scaling and fault tolerance

10M+

Records Processed Daily

High-volume data processing across multiple enterprise systems

75%

Video Processing Speed Improvement

Parallel serverless execution for advertising content processing

99.95%

Data Quality Accuracy

Implemented robust validation and error handling mechanisms

Leadership & Team Impact

Technical Team Leadership

BPCE-SI: Led Big Data team strengthening on Cloudera platform, mentored 3 junior engineers
IMPERIUM: Managed cross-functional team of 8 members across ML engineering and data science
3W Media: Trained annotation team of 5 specialists for computer vision projects
Knowledge Transfer: Conducted 20+ technical workshops on cloud architecture and ML deployment

Project Management Excellence

Migration Projects: Successfully led 3 major platform migrations with zero downtime
Agile Methodology: Implemented Scrum practices improving delivery speed by 40%
Stakeholder Management: Coordinated with C-level executives and technical teams
Risk Management: Developed comprehensive disaster recovery and backup strategies

Innovation & Research

Patent Applications: 2 pending patents for video processing and AI automation
Research Publications: Co-authored paper on "Scalable Video Processing in Cloud Environments"
Open Source: Contributed to 5+ open-source projects with 500+ GitHub stars
Technical Blogs: Published 15+ technical articles on Medium and LinkedIn

Industry Recognition & Certifications

AWS Expertise

AWS Solutions Architect Associate (In Progress)

Specialized certifications in CloudFront, S3, Big Data with Spark and Hadoop

AWS CloudFront AWS S3 Advanced Big Data Analytics

AI/ML Specialization

Deep Learning Specialization - DeepLearning.AI

Advanced certifications in neural networks, machine learning, and data science

Deep Learning Neural Networks Computer Vision

Big Data Engineering

Hadoop Platform Certification - UC San Diego

Expertise in ETL pipelines, Scala programming, and distributed systems

Hadoop Ecosystem Scala Programming ETL Pipelines

Business Impact & ROI

2024

RMC BFM ADS - Digital Transformation

Reduced operational costs by 60% through serverless architecture adoption
Improved content delivery speed by 75% with global CDN optimization
Enabled real-time advertising analytics processing 50M+ events daily
Achieved 99.9% SLA compliance for critical media processing workflows

2023

BPCE-SI - Big Data Modernization

Increased data availability from 85% to 99.5% through platform optimization
Reduced infrastructure costs by 40% via cloud migration strategy
Improved data processing speed by 65% with Spark optimization
Enhanced data quality with automated validation frameworks

2022

IMPERIUM - AI/ML Platform Development

Achieved near real-time ML inference with 95% accuracy improvement
Reduced model training time by 70% through distributed computing
Implemented scalable microservices architecture serving 1M+ requests
Developed automated ML pipeline reducing deployment time by 80%

2021

3W Media - Computer Vision Innovation

Delivered 94.2% mAP object detection accuracy on production datasets
Reduced inference time to 45ms enabling real-time video analysis
Processed 10K+ daily requests with 99.8% uptime reliability
Established data annotation standards improving model consistency

About Me

Professional Experience

Data Engineer / Cloud Engineer (AWS)

Key Responsibilities:

Big Data Engineer

Key Achievements:

R&D Data Engineer / Machine Learning Engineer

Key Projects:

ML/AI Developer & Data Scientist

Major Projects:

Skills & Technologies

Programming Languages

Python

Scala

SQL

Java

Cloud & Big Data

Amazon Web Services

Big Data Stack

Google Cloud Platform

ETL & Data Pipelines

Python Ecosystem

Data Science

Machine Learning

NLP & Text Processing

Web & APIs

Database Technologies

SQL Databases

NoSQL Databases

DevOps & Infrastructure

Containerization

Monitoring & BI

Version Control & CI/CD

Operating Systems

Professional Skills

Analytical Thinking

Team Leadership

Communication

Fast Learning

Project Management

Priority Management

Technical Expertise & Achievements

AWS Cloud Architecture & Engineering Excellence

Serverless Computing Mastery

Data Services & Analytics

Security & Compliance

Big Data Engineering & Distributed Systems

Apache Spark Ecosystem

Hadoop Ecosystem Mastery

Stream Processing & Real-time Analytics

Advanced Programming & Software Engineering

Python Mastery

Scala & Functional Programming

Database Systems

Machine Learning & AI Engineering

Deep Learning Frameworks

Computer Vision Excellence

Natural Language Processing

DevOps & Infrastructure Engineering

Containerization & Orchestration

CI/CD & Automation

Monitoring & Observability

Education & Certifications

Academic Education

Master 2: Data Science & Artificial Intelligence

Master: Web Intelligence & Data Science

Bachelor: Mathematics & Computer Science

DEUG: Mathematics & Computer Science

Baccalauréat: Mathematical Sciences - Series B

Professional Certifications

AWS CloudFront: Serve content from multiple S3 buckets

AWS S3 Basics

Introduction to Big Data with Spark and Hadoop

Deep Learning Specialization

Hadoop Platform and Application Framework

ETL and Data Pipelines with Shell, Airflow and Kafka

Functional Programming Principles in Scala

Machine Learning with Python - Level 1

Data Analysis Track