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HELLO, I'M

Kevin Ndungu

Solutions Architect | Data Engineer | Cloud Architect  

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Kevin Ndungu

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About

About

MY BACKGROUND

As a certified Solutions Architect and skilled Data Engineer, I bring a wealth of experience in data engineering tools, modern ETL/ELT processes, data warehousing, and pipeline deployment. My expertise lies in delivering actionable insights and advanced business intelligence through modernized data warehousing and engineering practices. Committed to driving transformative change, I excel in implementing agile, scalable, and data-driven architectures that empower organizations with a competitive edge.

Portfolio

PORTFOLIO 

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Welcome to my portfolio, a showcase of data-driven projects reflecting my proficiency in both Business Intelligence and Data Analytics and aspects of cloud Data Engineering. Each project highlights my dedication to delivering insightful solutions by leveraging cutting-edge technologies and robust data infrastructure. Feel free to explore each project to gain insight into the multifaceted nature of my skills in the realm of data analytics and engineering.

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Take a look at my tour of the Chicago Crime Dataset! Your input is really helpful to us as we jointly identify trends and insights. Come along for the ride as we explore!

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

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Explore Amazon EMR Serverless in action! Analyze review data with Spark jobs, with no cluster management. Dive into insights using Amazon Athena. Discover effortless big data processing.

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Unlock AWS prowess with Redshift & S3 Data Pipeline. Experience seamless data integration, storage, and analytics. Explore cloud infrastructure provisioning, data orchestration, and SQL analytics!

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Explore Amazon EMR: Scalable big data analytics made easy. From VPC setup to Spark job execution, unlock powerful insights with our comprehensive demonstrations.

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Discover data warehousing synergy: Microsoft Fabric and Azure synapse integration. Explore this project for efficient, scalable analytics. Unlock insights effortlessly.

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Thrilled to present a trading dashboard using Azure SQL and Tableau, developed to showcase insights into trading patterns and performance from year 2015 to 2021.

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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.

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Uncover insights with our Power BI analysis of Marley International Store. Explore sales trends, product performance, and regional insights for informed decision-making.

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View this comprehensive Retail Portfolio Analysis: Uncover insights from sales data, managerial effectiveness, store performance, and product trends to drive business growth.

Technical Skills

MY TECH STACK

§  Data Warehouse Designing & Architecture: Amazon Redshift, Google BigQuery, Azure Synapse Analytics. (OLAP)

§  Cloud Infrastructure | Architecture (IaC): AWS Cloud Formation & Terraform.

§  Database Systems: MSSQL_Server, Azure Data Studio, MySQL & PgAdmin.

§  Business Intelligence (BI) platforms: Microsoft Fabric, Tableau and Qlik Sense.

§  BigData Processing platforms: Elastic Map Reduce (EMR) for Apache Spark & Hadoop. 

§  Programming languages: SQL - MySQL & PostgreSQL (OLTP & OLAP), & Python. | Version Control - Git, GitHub & GitLab

§  Statistical Software: SPSS, STATA. 

§  Productivity and collaboration tools: Office 365, Slack, Microsoft Teams, Google Workspace. | CRM - Salesforce. | ERP - SAP.

§  AI and ML services: Amazon Bedrock Foundational Models (FMs) for Natural Language Processing (NLP) and LLMs.

§  Project management: Experienced in workflows management using Jira. | Technical Documentation: Confluence.

§  Cross--functional Teamwork: Acquainted with the Software Development Life Cycle (SDLC) and Agile methodologies.

Skills & Languages
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Get in Touch

Email: kevinndungu985@gmail.com

Nairobi, Kenya.

CONNECT WITH ME:-

  • LinkedIn
  • GitHub

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