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javiizz/README.md

Hi πŸ‘‹, I'm Javiizz

A passionate Data Engineer

πŸ”­ I’m currently working on Pyspark and Data Engineering Projects

πŸ“Š Experience Highlights

  • πŸ› οΈ Azure Analysis Services Virtuoso: Crafted and implemented resilient data models in Azure Analysis Services using Visual Studio, ensuring scalability and efficiency.
  • πŸ’‘ Strategic Architect: Developed architectural strategies tailored to industry requirements, guiding projects from conception to execution with precision.
  • πŸ“ˆ DAX Wizard: Engineered interactive, user-friendly dashboards in Power BI, leveraging complex measures in DAX to capture intricate business rules and performance indicators.
  • πŸš€ ETL Extraordinaire: Designed and implemented ETL pipelines using Azure Data Factory, facilitating seamless data integration and transformation.
  • πŸ” Data Security Sentinel: Ensured data confidentiality and compliance by implementing row-level security policies in Azure Analysis Services.

πŸ’‘ My Approach

My passion lies in crafting data solutions that empower decision-makers. Through the synergy of PySpark, ETL methodologies, and Power BI, I architect robust pipelines and captivating dashboards that resonate with stakeholders, facilitating informed decision-making processes.

Let's connect and explore the limitless possibilities of data together! 🌐

Popular repositories

  1. SparkProjects-EarthQuake_Analysis SparkProjects-EarthQuake_Analysis Public

    Earthquake Analysis using PySpark

    Jupyter Notebook 1

  2. SparkProjects-Healthcare_Analysis SparkProjects-Healthcare_Analysis Public

    Jupyter Notebook 1

  3. Weather-Web-App Weather-Web-App Public

    The Weather Web Application is a user-friendly web application developed using Python and Flask

    Python 1

  4. javiizz javiizz Public

    Config files for my GitHub profile.

  5. PySparkDataFrame-QueryExplorations PySparkDataFrame-QueryExplorations Public

    Jupyter Notebook

  6. MongoDB-Explorations MongoDB-Explorations Public

    Learning contents related with MongoDB