Pranay Manjunath
Software Engineer Ii at Mastercard
Based in South Dublin, Ireland
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Seniority
Staff
Department
Information Technology
Location
South Dublin
Industry
IT Services and IT Consulting
Company size
47K
Contact information
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p•••••••@mastercard.com
Phone
5 credits+353 ••• •••• ••••
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Background
About Pranay Manjunath
I hold a Master’s degree in Artificial Intelligence from Dublin City University and have accumulated over 5 years of professional experience as a Software Developer. My journey has been shaped by a passion for innovative solutions and a strong foundation in programming, system design, and data-driven decision-making. During my time at Mastercard, I worked as a Software Engineer, focusing on backend Java development and delivering scalable, efficient solutions. I handled critical responsibilities, including log analysis, data engineering, and managing CI/CD pipelines, while serving as the point of contact for my team. My role involved working with technologies like Splunk, Java, Python, Groovy, and various testing frameworks like JUnit and Mockito, enhancing system reliability and performance. Previously, in my former company, I was deeply involved in the software development life cycle, where I played a key role in designing and implementing solutions that consistently met deadlines and boosted customer satisfaction. I gained hands-on experience with technologies such as Java, Spring Boot, Hibernate, and Restful web services and leveraged tools like Docker, Jenkins, and Power BI for project success. Key Skills- Java application development, including Spring Boot, Hibernate, and design patterns- Expertise in testing frameworks: JUnit, Mockito- Experienced with CI/CD tools, Docker, Jenkins, Git, Jira, and ServiceNow- Certified Java SE 8 Developer with a strong background in SQL- Strong analytical, problem-solving, team management, and leadership skills- Proficient in data engineering, system design, and backend development. As a collaborative team player, I am always eager to learn and explore new technologies. My expertise in AI, machine learning, and data analytics drives my approach to problem-solving, continuously seeking innovative solutions that add value.
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