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Architecting & Building.
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Architecting & Building.
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kevinndungu-source/README.md

KEVIN NDUNGU

Welcome to my GitHub portfolio: a collection of data-driven projects demonstrating my cloud data engineering, data analytics, and business intelligence expertise. Every project demonstrates my commitment to using cutting-edge technology and a strong data infrastructure to create perceptive solutions. Please take a moment to review each project to see the variety of data analytics and engineering talents I possess.

MY CERTIFICATIONS:-

AWS_SAA AWS_CP

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  1. Google_Cloud_Platform_GCP_Project Google_Cloud_Platform_GCP_Project Public

    Analyze the Chicago Crime Dataset using SQL queries in Google BigQuery to uncover insights and trends, supporting informed decision-making for law enforcement and community stakeholders.

    SQL

  2. Amazon_Redshift_S3_Data_Pipeline Amazon_Redshift_S3_Data_Pipeline Public

    This repository contains code and documentation for the Amazon Redshift project, showcasing a data pipeline using Amazon S3. Explore how I manage and analyze large datasets in the cloud!

    JSON

  3. Amazon_EMR_Demonstration_Resources Amazon_EMR_Demonstration_Resources Public

    Explore and replicate Amazon EMR (Elastic MapReduce) setup and utilization for big data processing and analytics tasks, featuring comprehensive demonstrations from VPC creation to Spark job execution.

    Jupyter Notebook

  4. Amazon_EMR_Serverless_Demonstration Amazon_EMR_Serverless_Demonstration Public

    Explore the capabilities of Amazon EMR Serverless by processing semi-structured review data with Apache Spark, showcasing efficient big data analysis without managing clusters.

    Python

  5. Data_Analytics_Project Data_Analytics_Project Public

    Explore comprehensive retail analysis and insights focusing on Marley International Store, powered by data analytics techniques and visualizations using Python, PowerBI and Jupyter Notebooks.

    Jupyter Notebook

  6. Machine_Learning Machine_Learning Public

    Machine Learning - This is a hands-on Machine Learning endeavor showcasing data preprocessing, feature engineering, and model deployment using Amazon SageMaker, aimed at advancing proficiency in ML…

    Jupyter Notebook