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Qualification
Poste
Développeur Python IA
Métier
Développement backend
Secteur d'activité
Non renseigné non renseigné
Origine
Candidature reçue
Expérience
3-5 ans
Compétences
Python, Azure, Machine Learning, GIT, Ci/Cd
Identité et contact

Vous devez être abonné pour voir le nom et les coordonnées de ce profil.

Localisation
Fès
Source
Candidature ai.nextdata.ma
Déposé le
06/10/2026
CV anonyme

CV anonymisé automatiquement : nom, coordonnées et liens retirés. Les mentions entre crochets remplacent une information retirée.

NextData
Curriculum vitae anonymisé
ND-CV-5FE6B558

Développement backend

Fès Identité et coordonnées communiquées par NextData

Rabat, Morocco

I [téléphone]

[nom] · # [e-mail]

ð [nom]

[nom]

Data Engineer · DataCamp Certified

Profile

Data Engineer with hands-on experience across data pipelines, streaming systems, and analytics platforms, including on-premise, containerized, and cloud-based work. Highlights include building infrastructure that ingested 58M+ rows and reduced processing time by 89%, plus delivering APIs and dashboards for cross-functional users.

Education

2023–2026 Data and knowledge engineering degree, School of Information Sciences (ESI), Rabat, Morocco

  • Curriculum includes Artificial Intelligence, Machine Learning, Deep Learning, Big Data, Cloud Computing, DevOps, and Software Engineering
  • Engaged in applied AI research, innovation labs, and national hackathons 2021–2023 Preparatory Classes in Mathematics and Physics, CPGE mohammed 6, kenitra, Morocco
  • Intensive training in mathematics, physics, and logical reasoning
  • Preparation for engineering competitive exams and academic paths focused on data 2021 Bachelor’s Degree in Mathematical Sciences, High School, Rabat, Morocco, Option B
  • Excellent performance in mathematics and quantitative subjects

Professional Experience

Feb – Aug 2026 Data Engineer, Veolia | software solutions, Rabat, Morocco

  • Built and maintained an on-premise, multi-tenant data factory using Meltano, dbt, and Podman.
  • ingested 807+ tables and 58M+ rows (20 GB) with an 89% reduction in processing time.
  • Resolve complex analytical issues and optimize models for cloud-scale performance.
  • translated functional specifications into Business Objects and worked with architects and business stakeholders in Agile delivery.

June – August 2025 Data Analyst Intern, Decathlon, Casablanca, Morocco

  • Built a pipeline that extracted and consolidated data from 5 internal systems (14 GB).
  • Designed a self-serve dashboard adopted by 9 stakeholders and saving 2 hours per day.

July 2024 Data Engineer Intern, AiLand, Rabat, Morocco

  • Cleaned, transformed, and analyzed large-scale social media data.
  • contributed to fine-tuning NLP models for localized social listening in Morocco.

Projects

2025 Data-as-a-Service Pipeline on Microsoft Fabric, Personal Project

  • Built an end-to-end data pipeline based on the Medallion architecture to extract, process, and analyze data from clients’ on-premises databases ( 900 tables and 20 GB per client).
  • Leveraged Microsoft Fabric’s unified platform Lakehouse, OneLake, Data Pipelines, Dataflow Gen2, Data Warehouse, and Notebooks – to structure Bronze, Silver, and Gold layers.
  • Configured JDBC-based connectivity to securely ingest data from on-premises client databases into OneLake, refresh- ing 3x/day ( 40 min full load, 5 min incremental).

2025 Bitcoin Real-Time ML Pipeline with Streaming Analytics, Personal Project

  • Built an end-to-end streaming data platform ingesting live BTC-USD prices into Apache Kafka and processing them with Spark Structured Streaming for per-batch model training.
  • Developed a FastAPI backend (full-stack: API, interactive Streamlit dashboard) exposing real-time model metrics and batch prediction endpoints.
  • Orchestrated a multi-container architecture (Kafka, Zookeeper, Spark, dashboard, API) with Docker Compose, with monitoring and metrics persistence for reliability.

2025 NYC Green Taxi Data Pipeline, Personal Project

  • Built a complete ETL pipeline moving NYC Green Taxi trip data ( 50 GB) into a star-schema OLAP warehouse (dimension and fact tables optimized for analytics).
  • Configured an Apache Airflow DAG with monthly scheduling, data validation, and automatic schema creation for a reliable, self-serve data platform.
  • Optimized for scale with chunked inserts, connection pooling, and indexing; automated backfill across 71+ months of historical data, with full pipeline runs completing in 5 minutes.

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2024 Banking BI System and Data Warehouse, Personal Project

  • Designed and implemented a Data Warehouse with star schema on SQL Server.
  • Developed ETL processes with SSIS for ingestion and transformation of banking data.
  • Built interactive Power BI dashboards with business KPIs and predictive insights.
  • Optimized DirectQuery/Import connection between Power BI and SQL Server for real-time analytics.

Technical Skills

pipelines & Apache Airflow, Apache Kafka, Spark & PySpark, ETL/ELT, RedShift, S3, Hadoop & Hive, Kestra, Microsoft orchestration Fabric (Lakehouse, OneLake, Dataflow Gen2), Github Actions

Languages Python, R, JavaScript, Java, C/C++

Cloud & Storage EC2, Lambda, RDS, SageMaker, Glue, ECS, DynamoDB, Microsoft Fabric

Database PostgreSQL, MySQL, MongoDB, Neo4j, RedShift, Azure Data Factory

ML & AI Large Language Models (LLaMA, GPT), Model Quantization (GPTQ, 4-bit), NLP, XGBoost, Scikit-learn, TensorFlow, PyTorch

Visualization Matplotlib, Seaborn, Power BI, Tableau, Streamlit

Full-Stack Dev React, TypeScript, Next.js, HTML/CSS, Flask, FastAPI, Node.js

Professional Certifications

Data Science · Core Designer Certificate

Data Engineering · Data Engineer Associate - DataCamp

Machine Learning · Supervised Machine Learning - Stanford

Python Data · Python Data Associate - DataCamp

Databricks · Databricks Fundamentals (currently preparing for databricks data engineering associate exam )

Language Proficiency

English B2 Level · Professional

French C1 Level · Advanced

Arabic Native · Native Speaker

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CV anonymisé présenté par NextData · Confidentiel · contact@nextdata.ma ND-CV-5FE6B558

Pour être mis en relation avec ce profil, indiquez la référence ND-CV-5FE6B558 : contact@nextdata.ma

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