Nitansh

MDS

• Designed and developed high-performance backend services using ASP.NET Core for large-scale utility and meter-data processing systems.
• Developed backend APIs using ASP.NET Core for application-state notifications and service communication.
• Established Apache Spark clusters for distributed analytics and high-volume data processing.
• Developed Scala and Java applications for processing Cassandra data using Spark.
• Set up and configured Apache Cassandra clusters for scalable storage and retrieval of meter data.
• Implemented scalable data-processing pipelines and integrated persistent storage workflows.
• Managed application state and transactional data using PostgreSQL.

Optimized complex SQL queries, PostgreSQL functions, and bulk-processing workflows for high-volume systems.

• Designed concurrency-safe queue-processing mechanisms and transactional workflows using PostgreSQL.
• Implemented job scheduling and automated batch workflows using Quartz.NET.
• Integrated Apache Kafka for event-driven communication and asynchronous processing.
• Developed scalable, streaming-based file generation and compression workflows to improve memory efficiency.
• Designed modular and extensible processing pipelines for multiple export and data source integrations.
• Built asynchronous export pipelines supporting XML, ZIP, and configurable export formats.
• Worked extensively with XML serialization, streaming APIs, and memory-efficient file handling.
• Improved application scalability and throughput through async processing optimization and efficient database access strategies.
• Configured Docker-based development and deployment environments using Docker.
• Deployed and maintained applications on Linux environments.
• Additional Contributions,

Improved software performance by identifying and resolving bottlenecks in the code.

• Worked on CI/CD pipeline automation to streamline build and deployment processes.
• Collaborated with cross-functional teams to integrate software components seamlessly into existing systems.
• Conducted comprehensive code reviews, ensuring adherence to established coding standards and improving overall code quality.
• Conducted comprehensive code reviews, ensuring adherence to established coding standards and improving overall code quality.