Learning Power BI Desktop

Business Analysis: Essential Tools and Techniques

Excel Business Intelligence: Data Modeling 101

Business Analysis Foundations

Business Analysis for Project Managers

Agile Foundations

Digital Transformation Foundations

Excel Business Intelligence: Power Query

Agile Project Management with Jira Cloud: 1 Projects, Boards, and Issues

Writing a Business Case

- Designed and deployed cloud-native pipelines with Azure Data Factory, Synapse, Databricks, and Azure SQL, delivering scalable, governed, and cost-efficient analytics for high-volume financial data. - Automated data quality and audit controls with Power BI dashboards, cutting manual review time by 60% and strengthening regulatory compliance. - Optimized customer data pipelines using SQL and pandas, improving data quality and deduplication to generate $9M in cost savings. - Integrated streaming and batch ETL pipelines, enabling near real-time analytics and reducing reporting latency from hours to minutes.

Data Engineer | Scientist

- Engineered and deployed enterprise-grade solutions including an AI chatbot that saved 3,000+ man-hours and automated SQL pipelines that reduced computation time by 40%. - Architected scalable data platforms, from MSSQL data warehouses (5x query performance) to real-time streaming pipelines with Apache Kafka, enabling faster and more reliable analytics. - Led and mentored a cross-functional analytics team, improving project delivery by 30% through SQL optimization, data warehousing best practices, and enhanced team autonomy. - Designed and delivered modern data pipelines and architectures, including database schema redesigns, multi-subsidiary customer 360° data warehouse, and GCP/dbt/Kestra-driven ETL frameworks.

Lead Data & Analytics - Engineer | Scientist

- Utilized SQL and Python to clean, process, and optimize large datasets, ensuring high data quality and performance. - Supported database development, including schema design, performance tuning, and data modeling for efficient storage and retrieval. - Contributed to documentation, testing, and implementation of data engineering best practices for a robust data warehousing solution.

Data Engineer

- Engineered and optimized SQL/Python pipelines to process large datasets, enabling accurate reporting and analysis in the oil & gas sector. - Developed automated BI dashboards using Power Query and DAX, improving reporting accuracy and cutting manual effort by 40%. - Performed business process analysis, translating operational needs into data-driven insights for stakeholders.

Data Analyst - Strategy & Business Development

Senior Data Engineer with 6 years building production data systems for the messy real world, the kind where streams drop

Know about Onyinyechukwu Nebe's work experience, education, bootcamps, certifications, and much more. Onyinyechukwu Nebe