Joshua Umukoro

- Delivered end-to-end data engineering solutions for multiple clients, from ETL pipeline design to reporting automation.
- Improved client data processing speed by 40% through optimized cloud-based architectures (Azure & GCP).
- Automated reporting workflows, reducing manual reporting efforts by 50+ hours monthly.
- Built data warehouse solutions that cut query times by up to 25%.

Designed and deployed over 20 ETL pipelines using Azure Data Factory, achieving 20% faster data processing and 15% cost reduction. Built and maintained scalable data pipelines integrating diverse sources into cloud-based data lakes and warehouses, ensuring high accuracy and performance.

Utilized Python and SQL for advanced statistical analyses, delivering insights that reduced business decision time by 20%. Designed machine learning models with 20% improved predictive accuracy, supporting data-driven decision-making.

Analyzed customer transactions, website traffic, and marketing data, generating over 100 actionable insights to drive business decisions. Maintained data pipelines from CRM and POS systems to SQL Server databases, ensuring data integrity.

Currently pursuing a degree in Data Analytics for Business and Economics. This program focuses on applying data analysis techniques to solve business and economic problems, preparing for a career in data-driven decision-making.

Earned a Bachelor of Science degree in Industrial Relations and Personnel Management. This program provided a strong foundation in human resources, organizational behavior, and labor relations.

Completed a comprehensive program in Data Science, gaining expertise in machine learning, statistical analysis, and data visualization. Developed practical skills in Python and SQL for data manipulation and model building.