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lilywhale/README.md

📌 À propos de moi

💻 Data Engineer | Cloud & Data Enthusiast

🚀 Passionnée par la gestion des données, l'automatisation et l'optimisation des pipelines

🌍 Expérience en data engineering, DEVOps, data quality et cloud computing (AWS, Snowflake, Airflow)

💡 Ce que je fais :

📊 Développement de pipelines de données robustes et scalables

☁️ Exploration et optimisation des architectures cloud (AWS, GCP en cours)

🛠 Automatisation et industrialisation des workflows data

📈 Data Quality & Monitoring pour des pipelines fiables

🔧 Stack & Outils

🐍 Python | SQL | Spark | Airflow | Docker | Kubernetes

☁️ AWS (S3, Lambda, Glue, Redshift) | Snowflake

📊 Pandas | PySpark | dbt | Great Expectations

📂 Projets à découvrir

🚧 En cours : un projet de data pipeline optimisé avec Airflow et Terraform

🔍 À venir : un projet personnel sur l’intégration et la validation de données en temps réel

📫 Retrouvez-moi ici :
LinkedIn | Portfolio

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  1. spotify_etl_pipeline spotify_etl_pipeline Public

    Built an end-to-end ETL pipeline to extract Spotify data, transform it, and load it into Amazon Redshift for analytics and visualization.

    Python

  2. video_annotation video_annotation Public

    master project

    CSS

  3. Aure-M/mlops-project Aure-M/mlops-project Public

    Python