プロフィール詳細

プロジェクトを作成

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Wilfred K.に依頼

United States

Ms Data Engineer with two years' experience in designing, building, and optimizing end-to-end data pipelines.

プロフィール概要

With a strong foundation in real-time data integration, event-driven architectures, and analytics engineering, I bring data to life with comprehensive dashboards and actionable insights. Core Skills and Expertise: Microsoft Fabric Ecosystem: Expertise in Real-Time Intelligence Eventstream, Dataflow Gen2, Lakehouses, and KQL-based analytics. Real-Time Data Streaming: Integration of Apache Kafka (configured via Docker) with Microsoft Fabric to enable live data ingestion and processing. Data Transformation: Proficient in Power Query, KQL, and Python for transforming and analyzing raw data into actionable formats. End-to-End Analytics Projects: Experienced in connecting streaming pipelines to Power BI, creating dynamic dashboards to visualize live data, and generating business-critical insights. API Integration: Seamlessly integrating APIs like Mexc API into data pipelines to capture and process live market data. Cloud & Containerization: Hands-on with Docker, AWS S3, and Azure Synapse, ensuring scalable and efficient data workflows. Notable Projects: 1. Real-Time Market Data Pipeline: - Ingested live market data from the Mexc API into a Kafka topic and processed it with Microsoft Fabric Real-Time Eventstream. - Built a Power BI dashboard displaying key market metrics like price movements, trade volumes, and trends. 2. E-Commerce Data Warehouse: - Designed and implemented a data warehouse to consolidate multiple e-commerce data sources using APIs. - Optimized queries and integrated with Power BI for a robust analytics solution. 3. Global CO2 Emissions Tracker: - Developed an end-to-end pipeline for analyzing global carbon emissions data. - Used Microsoft Fabric Lakehouses for storage and KQL for analytics, visualized trends with Power BI. Why Work with Me? - Problem Solver: I thrive on turning complex data challenges into streamlined, automated solutions. - Detail-Oriented: I ensure all aspects of the pipeline are optimized, from API integration to data visualization. - Collaborative Approach: I value open communication and adapt quickly to your unique project needs.

専門分野

• ★ Big Data Analytics
• ★ Python
• ★ SQL
• ☆ Data Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Data Architecture
• ☆ Business Analytics
• ☆ Statistics
• ☆ Regression Analysis
• ☆ Correlation Analysis
• ☆ Trend Analysis
• ☆ Pure Mathematics
• ☆ Excel
• ☆ R
• ☆ Tableau
• ☆ Scikit-learn

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Market Research, User Research, Feasibility Study

Consulting Business Strategy Consulting

Data & AI Statistical Analysis, Data Visualization, Big Data Analytics, Data Mining, Data Cleaning, Data Processing

職務経験

Ms Fabric Data Engineer

Digital Qatalyst

1月 2025 - 現在

Payroll Analyst

Cyka Manpower Sevices Limited

3月 2021 - 現在

学歴

B.Sc Financial Engineering

Jomo Kenyatta University of Agriculture and Technology

9月 2014 - 11月 2018

BSc Financial Engineering (Statistics And Applied Sciences)

Jomo Kenyatta University of Agriculture and Technology

8月 2014 - 11月 2018

認定資格

• Google Analytics IQ Certification

  Google Inc.

  12月 2022 - 現在

出版物

REPORT

Tableau Dashboard .