Pratik Chitlangia

Contributing to the development of SAP C/4 HANA Sales Cloud, a leading CRM platform used by over 2000 enterprise customers worldwide.

Led end-to-end design, development, deployment, and maintenance of key modules in the Sales Cloud using Java, Spring Boot, Angular, gRPC, and Kubernetes, ensuring adherence to industry standards and best practices.

Delivered new feature implementations and critical bug fixes under tight deadlines, including creating hotfixes and emergency patches for customer-facing issues.

Implemented a caching layer reducing redundant evaluations and significantly improving performance for frequently accessed data and to handle consistency in complex multi-tenant environments.

Designed and executed a MongoDB batch job to update 3M documents, adding a new field to support enhanced query performance. Ensured minimal downtime and seamless integration by leveraging async batch operations and aggregations.

Collaborated with cross-functional teams across product management, QA, and DevOps to gather requirements, define scope, and ensure on-time, high-quality delivery of features and updates.

Resolved 30+ critical and high priority customer issues within Time-to-solve KPI, which helped maintain SLA.

Played a key role in refactoring legacy code and optimizing performance for better scalability and maintainability.

Improved system reliability by introducing automated test suites, enhancing the overall CI/CD pipeline using Jenkins, and integrating DevOps practices.

Gained significant experience in database management, working with MySQL and NoSQL databases to handle complex data queries and operations.

Proactively participated in knowledge-sharing sessions and mentoring junior team members on best coding practices, software design patterns, and DevOps strategies.

Adapted to team needs by working as a Frontend, Backend, and Full Stack Developer across three teams, ensuring seamless end-to-end development.

Developed and optimized ETL processes using Azure Data Factory.

Enhanced pipeline scalability with modularization techniques.

Performed data validation and transformation using Data Flow transformations.