Joydeep Jana — Product Manager

• Principal Solution Architect with over 17 years of diverse industry experience in technical architecture, solution design, technical roadmaps, and cost optimization strategies. • Proven expertise in crafting and executing application migration and database modernization strategies across global enterprise environments. • Strong ownership in data protection, with responsibility for defining global standards, strategies, and architectural guidelines to ensure compliance and resilience. • Adept at leading large-scale architecture and system design initiatives with a sharp focus on scalability, security, and performance. • Extensive experience in technical leadership, guiding multi-stream design reviews, development efforts, and system integration across distributed teams. • Practitioner of modern software engineering practices including Test-Driven Development (TDD) and Behavior-Driven Development (BDD). • Proficient in various delivery methodologies such as Agile-Scrum, Agile-Spotify, and Waterfall. • Deep experience in Java-J2EE, including Java 8 & 11, and frameworks like Spring Boot, Struts, and Hibernate. • Advanced knowledge of cloud-native architectures with hands-on expertise in AWS (S3, SNS, SQS, Lambda, Aurora, Redshift) and GCP. • Skilled in designing scalable solutions using Docker, Kubernetes, and container orchestration platforms. • Rich experience with SQL (MS-SQL, Oracle, MySQL) and NoSQL (MongoDB, Cassandra, HBase) databases, including AWS Redshift for cloud data warehousing. • Proficient in build automation tools such as Maven and Ant; adept in CI/CD pipelines using Jenkins and GoCD. • Experienced with schema migration tools like Flyway and Liquibase for version-controlled DB transformations. • Well-versed in source control tools like Git, Bitbucket, SVN, ClearCase, and Accurev. • Implemented static code analysis and quality gates using SonarQube and Codacy to enforce engineering best practices. • Passionate about AI/ML, with self-initiated learning and hands-on experimentation in TensorFlow, Scikit-learn, and Python-based ML pipelines. • Applied foundational knowledge of machine learning algorithms, model training, and data preprocessing techniques for POCs and architecture planning involving intelligent systems. • Continuously exploring how AI/ML integration can enhance cloud-native architectures and drive product innovation, with a strong interest in leveraging services like AWS SageMaker and Google AI Platform.

Stackforce AI infers this person is a Cloud-Native Architect specializing in scalable enterprise solutions and digital transformation.

Location: Bengaluru, Karnataka, India

Experience: 17 yrs 9 mos