Mar 2019 - Sept 2022

Data Engineer (Fidelity Bank, Nigeria)

- Engineered and optimized ETL pipelines using Apache Spark, Databricks, and Azure Synapse Analytics, integrating Azure Data Lake Storage for seamless data ingestion. This reduced data processing time by 70% - Developed and maintained a fraud detection streaming pipeline using Kafka, ensuring real-time monitoring of financial transactions and compliance. This advanced system reduced the time required to flag issues by 30%, significantly enhancing the fraud control mechanism. - Implemented and managed end-to-end data engineering infrastructure stack with Terraform, integrating cloud monitoring tools for comprehensive system oversight. This proactive approach enhanced system reliability and performance optimization, ensuring seamless operations across the organization.

June 2024 - Present

Lead Data Engineering Instructor (CoreDataEngineers)

•Enabled seamless cloud infrastructure setup leveraging infrastructure as code for students and instructional purposes, streamlining learning experiences • Regularly spearhead the Data Engineering curriculum alignment with current industry standards and best practices. • Fostered a culture of continuous improvement by facilitating knowledge-sharing sessions and workshops on emerging trends and technologies in Data Engineering, empowering students with cutting-edge skills.

June 2024 - Present

Senior Data Engineer (Bredge)

- Spearheaded the architectural design for a major automotive client and vendor, ensuring robust and scalable solutions - Optimized automotive data workflows, achieving a 40% increase in processing efficiency and reliability. Implemented advanced ETL pipelines with Apache Spark and Databricks to enhance automotive data integration and analytics. - Improved data quality and reliability through rigorous testing and validation, reducing automotive data errors by 30%