Axel Tifrani

Cloud • Data • AI Solution Architect

Designing modern cloud and data platforms | AWS | Data Engineering | DevOps | MLOps

About Me

Cloud, Data and AI Solution Architect focused on building scalable cloud-native data platforms and modern data architectures.

I work on designing systems that combine:

• Data, Cloud and AI architecture
• Cloud infrastructure
• Data engineering pipelines
• Machine learning platforms
• DevOps and automation

My goal is to help organizations transform data into reliable, production-grade systems.

I also share knowledge through educational repositories and technical content.

Core Expertise

Cloud Architecture

• Cloud services
• Infrastructure as Code
• Cloud-native architecture
• Distributed systems

Modern Data Architecture

• Data Lakes
• Data Warehouses
• Lakehouse architectures
• Data Mesh architectures

Data Engineering

• ETL / ELT pipelines
• Data platform design
• Large-scale data processing
• Workflow orchestration

DevOps

• CI/CD pipelines
• Containerization
• Infrastructure automation
• Platform reliability

MLOps

• ML lifecycle management
• Model deployment
• Automated ML pipelines
• Monitoring and governance

Technology Stack

Cloud

Languages

Data Engineering

DevOps & Infrastructure

ML & MLOps

Featured Projects

Modern Data Platform

Design of a scalable cloud-native data platform implementing modern data architecture patterns including:

• Data lake
• Data warehouse
• Data Lakehouse
• Data Mesh
• ETL pipelines
• Orchestration

AWS Cloud Labs

Hands-on projects demonstrating real-world use of AWS services:

• compute
• storage
• networking
• monitoring
• security

Data Engineering Pipelines

Examples of batch and streaming pipelines built with modern data engineering tools.

Topics include:

• data ingestion
• transformation pipelines
• orchestration
• scalable processing

MLOps Workflows

Implementation of machine learning production pipelines including:

• experiment tracking
• automated training
• model deployment
• monitoring

MyStepUp

Educational repository containing learning material for students covering:

• AWS cloud services
• modern data architecture
• development environments
• DevOps practices
• data engineering
• MLOps

Teaching & Knowledge Sharing

I maintain repositories and learning resources aimed at helping students and engineers learn:

• cloud computing
• modern data platforms
• data engineering practices
• DevOps workflows
• MLOps concepts

GitHub Activity

Connect

LinkedIn

GitHub

Vision

Build and share modern cloud and data platforms that are:

• scalable
• reliable
• production-ready
• accessible for learning