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    GuirassyFode/README.md

    Hi there, I'm Fode Guirassy 👋

    🚀 Data & AI Engineer | Azure DP-203 In Progress | Building Scalable Data Pipelines

    LinkedInGitHub followers

    👨‍💻 About Me

    I'm a Data & AI Engineer passionate about designing and building end-to-end data solutions — from raw ingestion to AI-powered insights. I specialize in cloud-native data architectures, real-time streaming pipelines, and machine learning integrations using modern data stack technologies.

    • 🏗️ Building production-grade ETL/ELT pipelines on Azure, AWS & GCP
    • 🤖 Developing AI/ML-powered data workflows & RAG (Retrieval-Augmented Generation) systems
    • ⚡ Engineering real-time streaming solutions with Apache Spark, Kafka & Flink
    • 🗄️ Designing dimensional data models (Star/Snowflake schema) for analytics
    • 📊 Optimizing data platforms for scalability, reliability, and performance

    🛠️ Tech Stack

    ☁️ Cloud Platforms

    AzureAWSGCP

    🔧 Data Engineering

    Apache SparkApache KafkaApache Airflowdbt

    💾 Databases & Storage

    PostgreSQLMySQLCassandraSnowflake

    🤖 AI / ML

    PythonLangChainOpenAIScikit-learn

    🐳 DevOps & Infrastructure

    DockerKubernetesGit

    🎯 Certifications & Learning

    • 📚 Microsoft Azure Data Engineer Associate (DP-203) — In Progress

    📌 Featured Projects

    ProjectDescriptionTech Stack
    🔥 Apache Spark PortfolioEnd-to-end Spark data engineering solutions with local vs. global sort optimizationsPySpark, Scala
    ☁️ Azure Data Engineer (DP-203)Azure-based ETL/ELT pipelines — preparation for DP-203 certificationAzure Data Factory, Synapse, ADLS
    🤖 AI Chat RAG WorkflowRetrieval-Augmented Generation pipeline for intelligent document Q&APython, LangChain, OpenAI
    📰 News Trend Data PipelineReal-time news trend ingestion and analytics pipelinePython, Airflow, Kafka
    🗄️ Dimensional Modeling - NBAStar schema dimensional model for NBA analyticsSQL, PostgreSQL
    ☸️ Kubernetes Data EngineerContainerized data pipeline deployment with KubernetesKubernetes, Docker, Python
    📊 SQL Deep DiveAdvanced SQL techniques: window functions, CTEs, optimizationSQL, Jupyter Notebook

    📈 GitHub Stats

    GuirassyFode's GitHub StatsTop Languages

    📫 Let's Connect

    I'm always open to discussing data engineering, AI/ML projects, cloud architecture, or opportunities in consulting and technology.

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    ⭐ "Turning raw data into actionable intelligence — one pipeline at a time."

    Pinned Loading

    1. azure-dp-203-data-engineer-azureazure-dp-203-data-engineer-azurePublic

      Azure DP-203 Data Engineer certification prep: Azure Data Factory, Synapse Analytics, ADLS Gen2, Stream Analytics, Databricks & Delta Lake pipelines

      1

    2. kubernetesDataEngineerkubernetesDataEngineerPublic

      Kubernetes-orchestrated data engineering platform: containerized ETL pipelines, Helm charts, pod autoscaling & cloud-native data workflow deployment

      Python 1

    3. SQL-Deep-Dive-SQL-Deep-Dive-Public

      Advanced SQL mastery: window functions, CTEs, recursive queries, query optimization, indexing strategies & analytical patterns for data engineering interviews

      Jupyter Notebook 1

    4. Apache-Spark-Data-Engineering-PortfolioApache-Spark-Data-Engineering-PortfolioPublic

      Production-grade PySpark data engineering solutions: ETL pipelines, sorting optimization, Spark SQL, Azure ADLS integration & dimensional modeling

    5. my-ai-chat-rag-workflowmy-ai-chat-rag-workflowPublic

      RAG-powered AI chat workflow using LangChain & OpenAI for intelligent document Q&A — retrieval-augmented generation pipeline with vector embeddings

    6. News_trend_data_pipelineNews_trend_data_pipelinePublic

      End-to-end containerized data pipeline for real-time news trend ingestion, transformation, data quality checks & alerting using Docker and Apache Airflow