Dynamic Reconciliation Engine
Automatically matches transactions across payment gateways, banks, and internal ledgers
Ibrahim B. is a data engineer with several years of experience in the fintech and analytics sectors. He specializes in designing and implementing robust data systems to streamline operations and enhance data-driven decision-making. Ibrahim's core technical expertise includes Python, SQL, PySpark, Apache NiFi, Kafka, and Airflow. He builds dynamic reconciliation engines, automated data copy systems, and real-time reconciliation tools, employing practices like CI/CD and containerization with Docker to ensure efficient and scalable data solutions. At Interswitch Group, Ibrahim developed a dynamic reconciliation engine that automatically matches transactions across multiple systems, significantly reducing manual intervention. He also created an automated data copy engine and portal, empowering non-technical teams to manage data without engineering tickets. His work in big data infrastructure involved provisioning and managing a ten-node Spark cluster. Ibrahim holds a B.Sc. in Physics from the University of Lagos and certifications in Azure Cloud Computing, Data Science, and Artificial Intelligence. He is well-suited for roles that require rigorous accuracy, scalability, and cross-functional teamwork in data engineering and analytics.
Automatically matches transactions across payment gateways, banks, and internal ledgers
Created a self-service portal for data copying without engineering tickets
Designed a system for reconciling daily settlement files from multiple banks
Built a tool that suggests automation rules for data reconciliation
Owned the reconciliation of core financial accounts for multiple payment products
Developed a streaming reconciliation system for immediate error detection
Designed and deployed big data processing architecture with various technologies
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Data Engineer
Lagos, Nigeria · 3-4 years experience
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