Sunil Netra
About Sunil Netra
Sunil Netra serves as the Lead Developer and Associate Director at FINRA, where he has worked since 2019. He specializes in cloud services, enterprise application integration, and identity management solutions, leveraging his extensive experience and AWS certifications.
Work at FINRA
Sunil Netra has been serving as the Lead Developer and Associate Director at FINRA since 2019. In this role, he leads the development and delivery of the FINRA Identity Program, which emphasizes regulatory compliance and identity management solutions. His responsibilities include overseeing the implementation of cloud-based solutions and ensuring that the organization's technology aligns with its regulatory requirements.
Education and Expertise
Sunil Netra earned a Bachelor of Engineering in Computer Engineering from Engineering College Kota, where he studied from 2000 to 2004. His educational background provides a strong foundation for his technical skills. He holds multiple AWS certifications, demonstrating his expertise in cloud services and infrastructure management. Sunil utilizes a variety of AWS services, including VPC, ECS, EC2, and Lambda, to develop efficient cloud-based solutions.
Technical Skills and Tools
Sunil Netra is proficient in a diverse range of technical tools and platforms. He employs version management tools such as CVS, Star Team, Perforce, SVN, GitHub, and Accurev for source control. Additionally, he utilizes Apache Solr and Elasticsearch for enterprise search platform implementations. His skills extend to containerization with Docker, enhancing application deployment and scalability.
Background in Enterprise Application Integration
Sunil has a strong background in enterprise application integration, utilizing tools like Tibco Business Works. His experience in this area allows him to effectively connect various applications and systems within an organization. Furthermore, he is experienced in business process management using iProcess, which enhances workflow automation and efficiency across different processes.