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Architecting & building.
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Architecting & building.
31 followers · 23 following

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Achievement: Pull Shark

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Achievement: Pull Shark

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kevinndungu-source/README.md

KEVIN NDUNGU 1

Welcome to my GitHub Portfolio

Here, you'll find a dynamic collection of data-driven projects showcasing my expertise in:

  • Cloud Data Engineering: Architecting scalable, secure, and optimized data pipelines on cloud platforms.
  • Data Analytics & Insights: Providing insights through advanced analytics using Python, SQL, and industry-standard tools.
  • Business Intelligence (BI): Crafting dashboards and visualizations that drive informed decision-making.
  • FinTech Solutions: Leveraging data engineering to support financial technologies, ensuring seamless transactions and secure processes.
  • Cutting-Edge Technology: Embracing the latest tools in cloud computing and big data to create resilient data infrastructures.

Explore my projects and see how I use data to deliver impactful solutions!

My tools for programming, data manipulation, storage & visualization:-
Python3 Conda Jupyter Spark MySQL Postgres SQLserver AzureSQL Plotly Matplotlib
Python Conda Jupyter Spark MySQL Postgres SQL-Server Azure SQL Database Plotly Matplotlib
Tools for working with frameworks and main libraries for Python3 | Version control, Environment & Testing:-
Numpy Pandas Sklearn Git GitHub Docker Postman
Numpy Pandas Sklearn Git GitHub Docker Postman
Certifications:-

AWS_SAA AWS_CP AI_IBM

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  1. 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

  2. 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

  3. 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

  4. GCP_BigQuery_Project GCP_BigQuery_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

  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. A-B_Testing A-B_Testing Public

    This project involved conducting an A/B test to analyze the impact of button color change on user engagement for Tech-Savvy, using statistical analysis and visualization to derive actionable insights.

    Jupyter Notebook