About Anas
Senior Data & Cloud Engineer with 4+ years of experience designing and optimizing large-scale data platforms in industrial and cloud-native environments.
I help companies design scalable data platforms, optimize cloud costs, and build high-performance data pipelines that deliver measurable business impact.
French
Fluent
English
Conversational
Arabic
Native or bilingual
Remote only
Primarily works remotely
Experience
- AirLiquideData EngineerENERGY AND UTILITIESNovember 2021 - Today (4 years and 7 months)Led the design and implementation of a global AWS Data Platform covering multiple industrial plants worldwide.• Designed a Core Data Model for predictive maintenance and risk-based equipment monitoring• Built scalable ETL/ELT pipelines using PySpark, Spark, DBT and Airflow• Optimized large-scale data processing (Spark partitioning, SQL tuning)• Reduced AWS cloud costs through infrastructure optimization and instance right-sizing• Managed end-to-end data ingestion into AWS Data Lake (S3, Glue, EMR, Athena)• Developed API-based data exposure for business and application layers• Implemented monitoring & observability (Grafana, ELK)Environment: AWS (Glue, EMR, Athena, Lambda, S3, DynamoDB, RDS), PySpark, DBT, Airflow, Docker, GitLab CI/CD.
- KEREON IntelligenceData EngineerCONSULTING AND AUDITSMarch 2021 - July 2021 (4 months)Designed and implemented automated data extraction and analytics solutions.• Developed scalable web scraping pipelines (Selenium, BeautifulSoup)• Designed hybrid storage architecture (MongoDB + PostgreSQL)• Built interactive dashboards for KPI monitoring• Deployed YOLO-based computer vision models for automated license plate recognition• Ensured data quality, cleaning, and transformation processesEnvironment: Python, PostgreSQL, MongoDB, Power BI, Deep Learning (YOLO), GitLab.
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Education
- Master's degreeUniversités de Pau et Pays d'Adour2020
Certifications
- AWS Certified Data Engineer – AssociateAWS2025
- AWS Certified Solutions Architect – AssociateAWS2021