Senior MuleSoft Developer

Over the past four years, I have gained extensive experience in enterprise integration development, specialising in MuleSoft. I have worked on numerous projects that involved designing and implementing APIs, integrating systems, and ensuring seamless data flow across platforms. My work has focused on delivering scalable, secure, and efficient solutions tailored to the needs of clients.  

At Tata Consultancy Services, I led the development of APIs using the MuleSoft Anypoint Platform, handling the **end-to-end lifecycle** from design to deployment. I worked on a team of 14-16 members to manage complex integration projects, including point-to-point and point-to-many integrations. One of my notable achievements was the Maximo-IsoMetrix Integration project, where I automated the exchange of job plan information across systems using six system APIs and two process APIs. This involved leveraging DataWeave for data transformation and deploying APIs via Azure CI/CD pipelines, ensuring efficiency and reliability.  

Before that, at CloudThat Technologies, I developed a real-time COVID-19 data integration system for the WHO, connecting multiple databases and enabling accurate global reporting. I also created APIs to integrate Salesforce, databases, and Blue Yonder for a retail domain project, showcasing my ability to handle diverse industry requirements. My responsibilities included developing Proofs of Concept (POCs) to demonstrate feasibility, implementing secure connections, and resolving 23+ support tickets to enhance existing MuleSoft applications.  

During my time at Capgemini, I gained experience in building APIs for workforce analytics systems, automating the flow of employee lifecycle data. I implemented a Pub-Sub Asynchronous Integration Pattern for smooth data processing and applied RAML design, MUnit testing, and secure connections to maintain high performance. Additionally, I led a team of junior developers to create a chatbot using Azure Cognitive Services, showcasing my ability to mentor and lead technical initiatives.  

Apart from my integration expertise, I bring a strong foundation in cloud technologies. I am a certified Microsoft Azure Data Scientist and Azure AI Engineer, with hands-on experience deploying solutions on Azure. My skills extend to working with Docker and Kubernetes, enhancing my ability to handle modern containerised environments.  

With a Master’s in Data Science from MTU, Ireland, I possess a solid academic background that complements my technical skills. My ability to translate complex requirements into actionable solutions, combined with a commitment to continuous learning, has helped me deliver impactful results. Whether it's designing APIs, managing CI/CD pipelines, or troubleshooting integration challenges, I bring a proactive and collaborative approach to every task.  

I am eager to contribute my expertise in integration development, cloud computing, and data science to deliver innovative solutions that drive organisational success.