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FJ@faizajibril
Backend Engineer with expertise in Java microservices and cloud solutions.
United KingdomAs a Backend Engineer with over 3 years of experience, I specialize in building secure and scalable Java microservices in high-throughput environments. At JP Morgan, I engineered distributed systems that handle over 2 million transactions per day, integrating message queues like Kafka and ActiveMQ, and designing REST APIs for regulated finance workflows. My passion lies in delivering robust backend components with CI/CD pipelines using Jenkins and Maven, along with containerized deployments via Docker and Kubernetes.
I am AWS Certified and have a strong commitment to building developer-friendly infrastructure for modern SaaS platforms. My experience includes automating CI/CD pipelines, which reduced deployment time by 60%, and creating internal tools that decreased support tickets by 40%. I thrive in cross-functional Agile teams, ensuring that features are delivered on time and meet business needs.
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Work history, roles, and key accomplishments
JP Morgan
Jan 2023 - Present (2 years 10 months)
Engineered backend microservices using Java, Spring Boot, and JPA to support internal payment workflows and daily reconciliation processes, processing over 2M+ transactions per day. Automated CI/CD pipelines using Jenkins, GitHub, and Maven, reducing deployment time by 60%.
InsideSherpa
Nov 2020 - Feb 2021 (3 months)
Automated data workflows using Python to eliminate repetitive backend tasks. Developed SQL-based feature extractors for behavioral prediction models and integrated pipelines into production services with CI/CD.
Nigerian National Petroleum Corporation (NNPC)
Mar 2018 - Aug 2018 (5 months)
Built full-stack web applications using PHP and SQL for internal forms and CRUD systems. Resolved 45% of user-reported bugs across existing internal services, improving reliability.
Degrees, certifications, and relevant coursework
UBMSc – Data Analytics and Technologies, Data Analytics and Technologies
Grade: Distinction
Completed a Master of Science in Data Analytics and Technologies, achieving a Distinction. Focused on practical applications of data science, including anomaly detection in transactions using genetic algorithms and developing a churn prediction pipeline with 86.5% accuracy. Also created an inventory forecasting regression model with 98% accuracy for an eCommerce firm.
NNB.Eng – Computer Engineering, Computer Engineering
Grade: 4.87/5.0
Activities and societies: IEEE Publication: Heart Rate Monitoring & Detection System
Earned a Bachelor of Engineering in Computer Engineering with a CGPA of 4.87/5.0. Engaged in research and published an IEEE paper on a Heart Rate Monitoring & Detection System.
Software and tools used professionally
United KingdomYou can contact Faiza and 90k+ other talented remote workers on Himalayas.
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