Freelancer profile translated to English.
Back to original languageAbout Mohamed Amine
Lead Python Developer with over 4 years of experience, specializing in data engineering, orchestration, and AWS cloud. I excel at rapid team integration, critical problem-solving, and mentoring.
At Riseup (French EdTech platform):
- Complete migration of ETL systems to Apache Airflow, with performance optimization (+40%) and incident reduction (-50%).
- Management of AWS multi-tenant infrastructures (S3, RDS, Lambda, ECS/Fargate) and monitoring (Datadog, CloudWatch).
- Technical leadership for 4 engineers, code reviews, and CI/CD (GitLab, Bitbucket).
Previous Internships:
- NLP pipelines for audio/video at Roundesk (Google STT, IBM Watson integration).
- Recommendation system and dashboards at Carthage Solutions (Python, FastAPI, React).
Key Skills:Python, Pandas, Airflow, SQLAlchemy, MySQL/PostgreSQL, Pytest, Docker, Jira.
Available for remote missions in France/Europe, with full commitment and rigorous quality standards.
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Remote only
Primarily works remotely
Experience
- RiseupPython developer | Data engineerEDUCATION AND E-LEARNINGDecember 2021 - February 2026 (4 years and 2 months)Tunis, TunisiaLMS/LXP platform used by hundreds of schools and companies, managing multi-tenant data warehouses with millions of rows and massive daily processing.Key Achievements:Data & Cloud Architecture
- Design and full deployment of the multi-tenant data backend from scratch
- Complete migration of a legacy ETL system (Celery) to Apache Airflow with MWAA
- Setup of two MWAA environments and daily administration
- AWS cost optimization through lifecycle policies, partitioning, and storage strategies
Governance & Security- Centralization and security of all credentials via AWS Secrets Manager
- Development of a Slack bot for real-time DAG notifications (success/failure)
- Implementation of end-to-end monitoring (Datadog + CloudWatch) and 50% reduction in incidents
Technical Leadership- Technical direction of 4 data & backend engineers (code review, mentoring, architecture standards)
- Automation of CI/CD pipelines (Bitbucket Pipelines then GitLab CI)
- Technical interviews, onboarding, and supervision of interns
Business Impact- Improvement of processing performance by +40%
- 50% reduction in production incidents through tests and quality gates
Stack:Python, Pandas, Apache Airflow, AWS (Lambda, API Gateway, S3, RDS, ECS/Fargate, Glue, MWAA), MySQL, SQLAlchemy, Docker, Datadog - RoundeskData Engineering & ML InternshipEDUCATION AND E-LEARNINGMarch 2021 - June 2021 (3 months)Tunis, TunisiaLarge-scale processing of audio/video data for transcription and analytics.
- Design and development of ETL pipelines for massive audio and video data processing
- Integration of Google Speech-to-Text and IBM Watson APIs for automatic transcription
- Development of an NLP pipeline for automatic topic detection and metadata enrichment
- Setup of a scalable architecture on AWS S3 and PostgreSQL
Stack:Python, Pandas, AWS S3, PostgreSQL, Google STT, IBM Watson, NLP - Carthage SolutionsData Engineering & Data Science InternshipEDUCATION AND E-LEARNINGAugust 2020 - October 2020 (2 months)Tunis, TunisiaSkills recommendation and analytics platform
- Development of ETL pipelines and design of a content-based recommendation engine
- Creation of a real-time analytics dashboard (React + FastAPI)
- Structuring and optimization of databases for high-performance analytics
- Close collaboration with product teams for rapid iterations
Stack:Python, SQL, FastAPI, React, Git
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Education
- Computer Engineering DegreeÉcole Supérieure Privée d'Ingénierie de Monastir (ESPRIMS)2021Formation d'ingénieur généraliste avec spécialisation en développement logiciel, bases de données et architecture système. Projets pratiques : conception d'applications distribuées, data engineering, cloud computing.
- Bachelor's Degree in Electronics, Electrical Engineering, and AutomationFaculté des Sciences de Monastir (FSM)2016Formation scientifique rigoureuse : mathématiques, algorithmique, systèmes embarqués. Base solide pour la résolution de problèmes complexes et l'approche systémique.