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Yassine Tbessi

About

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Accomplished DevOps and Site Reliability Engineer with two years of intensive experience in designing, automat-ing, and managing resilient infrastruct
Tunis, Tunis Governorate, Tunisia

Contact Yassine regarding: 
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Timeline


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Résumé


Jobs verified_user 0% verified
  • G
    DevOps and Site Reliability Engineer
    Guépard
    Dec 2024 - Current (1 year 7 months)
    • Engineered the infrastructure for a data-driven AI agent and a multi-cloud platform (MCP), leveraging Azure App Service and Azure Cognitive Services for sandbox environments and implementing Guepard for data version control. • Architected and deployed secure, scalable, and cost-optimized infrastructure for 10+ enterprise clients, successfully replicating complex AWS environments to Azure and GCP using Terraform to ensure multi-cloud redundancy and avoid vendor lock-in. • Led the infrastructure design for a cutting-edge Data Engineer AI Agent on Azure, leveraging Azure Cognitive Ser- vices, App Service for hosting, and Modal for secure, sandboxed code execution, enabling advanced data automation capabilities. • Integrated the AI agent with
  • T
    DataOps and Site Reliability Engineer
    The Quantic Factory
    Jan 2024 - Nov 2024 (11 months)
    • Engineered and optimized large-scale ETL pipelines in Go and Bash, processing terabytes of data daily from MySQL sources to Google BigQuery. This achieved a 40% increase in data processing throughput, enabling faster business intelligence. • Overhauled the company's observability strategy by implementing a cost-effective stack with Graylog, Prometheus, and Fluentd, successfully reducing monthly monitoring and logging expenditure by 80% while improving signal-to- noise ratio. • Led the architectural migration from a monolithic system to a scalable, event-driven model using Google Pub/Sub and Cloud Run, significantly improving service decoupling, scalability, and fault tolerance for core applications. • Developed a custom job scheduler in G
  • inoteqia
    Software Engineering Intern
    inoteqia
    Jul 2023 - Sep 2023 (3 months)
    • Developed a real-time anomaly detection dashboard using Dash Plotly for an embedded AI system, visualizing data from LSTM Autoencoder and Random Forest models. Deployed the full stack using Docker and Kubernetes.
Education verified_user 0% verified
  • E
    ICT Engineering Degree
    ENIT - National Engineering School of Tunis
    Sep 2021 - Jun 2024 (2 years 10 months)
    Major: Telecommunications | Specialization: Cloud Computing & Distributed Systems
  • I
    Preparatory Degree in Physics & Technology
    IPEIEM - El Manar Preparatory Institute for Engineering Studies
    Sep 2019 - Jun 2021 (1 year 10 months)
    Graduated in the Top 11% of the National Competitive Entrance Exams (Rank: 91/846)
  • Udemy
    Kubernetes for Developers
    Udemy
    UC-62108125-140e-4bfc-bfa7-6a7bdc6cdc19
  • Udemy
    Deploy Infrastructure in the Cloud using Terraform
    Udemy
    UC-0bffh960-1526-4726-4636-f8fb61e1457
  • Udemy
    Advanced Kubernetes/AKS Network & Infrastructure
    Udemy
    DC-2a8ff52a-f98b-4225-bfd1-272cd002f013
Projects (professional or personal) verified_user 0% verified
  • P
    Postgres Migration Tool
    A lightweight and efficient CLI utility for database schema versioning and migration, allowing developers to manage database changes programmatically and reliably. (github.com/YassineCommits/postgres-migration)
  • P
    Postgres User Manager
    A command-line interface (CLI) built with Go to simplify and standardize the management of PostgreSQL users, roles, and permissions across multiple database instances. (github.com/YassineCommits/postgres-user-manager)
  • A
    Autostop Docker Containers
    A smart Go application that stops running Docker containers based on configurable inactivity timers or a defined schedule, designed for optimizing resource usage in development environments. ( github.com/YassineCommits/autostop-docker-containers)
  • A
    Autostart Docker Container
    A robust utility written in Go to ensure specified Docker containers are automatically started on system boot or after a daemon restart, enhancing service availability. (github.com/YassineCommits/autostart-docker-container)