IT professional with 17+ years of industry experience and diversified knowledge in designing/architecting solutions, leading API integration, workflow automation, OCR/ICR automation, designing Enterprise Content Management applications, and participating in various SDLC phases, and maintenance activities. Expertise in Enterprise Content Management (ECM) suite of applications, e.g., Documentum, Perceptive Content (ImageNow), InfoImage, and Image Processing/Capture Systems, e.g., IBM Datacap, and Captiva. Software Development and Programming: Hands-on experience in programming languages relevant to the projects (e.g., Java, JavaScript, VB6, VB.NET), and an understanding of the software development lifecycle (SDLC) and experience in DevOps practices. Data Management and Databases: Proficiency in relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., Firebase), and a basic understanding of data modelling, data warehousing, ETL (extract, transform, load) processes, and big data technologies. Networking and Security: Strong understanding of network protocols, load balancing, VPNs, and knowledge of security standards and best practices (e.g., OAuth). System Integration: Experience with integration methods and tools (e.g., SOAP/REST APIs) and familiarity with integration middleware, messaging systems, and enterprise service buses (e.g., MuleSoft). Containers and Orchestration: Knowledge of containerization technologies (Docker and Kubernetes) and familiarity with container orchestration for scalability and deployment, and serverless architecture. Architecture Frameworks and Methodologies: Familiarity with architecture framework (TOGAF) and knowledge of Agile, Scrum, and DevOps methodologies for project management and development. Automation: Basic understanding of DevOps tools (e.g., Jenkins, GitLab, Octopus) and knowledge of version control systems (e.g., Git, SVN). Performance Tuning and Optimization: Skills in identifying performance bottlenecks and optimizing applications, and experience with load testing, performance testing, and monitoring. AI and RPA: A good understanding of basic AI concepts and wide knowledge in the RPA (Robotics Process Automation) tool named UiPath.