Priyadharshini Ramaswamy

• Led the technical design and development of major functional pipelines using modern big data processing frameworks, significantly enhancing data flow efficiency and reliability. This involved managing data ingestion with technologies such as Apache Flink, Kafka, AWS S3, Airflow, and Snowflake, and data exposure via Kafka, REST APIs, and GraphQL. Example projects include Client and Account Onboarding & Management.
• Introduced Redis in-memory datastore and cache service for faster API reads, achieving millisecond latency requirements
• Incorporated write-behind caching pattern leveraging in-memory cache as first layer of persistence with asynchronous writes to database. This enabled near real-time onboarding of datasets (< 1s). This enhancement was crucial for real-time payment rails sensitive to data freshness and significantly improved the user experience.
• Devised a blue-green deployment strategy using AWS Fast Cloning that eliminates disruptions to Master Data Management services during deployments. This enabled 24/7 availability of reference data, reducing downtime from approximately 2 hours during deployment to zero.
• Developed a regional failover strategy for services using AWS RDS, achieving high availability and disaster recovery ensuring zero data loss during failover.
• Developed Java and Python services on AWS Cloud infrastructure, integrating with ECS, S3, RDS, and ElastiCache using Terraform as an infrastructure-as-code tool.

• Collaborated on the development of SAP Intelligent Product Recommendation, utilizing machine learning models such as Probabilistic Graphical models, Association Rule Models and Clustering models to optimize product selection and configuration for complex configurable products.
• Developed Java microservices with REST APIs and Spring Boot deployed on cloud for inventory operations

Achievements : SPOT Award, December 2019

• Contributed to the development of automation framework that lets you automate repetitive and complex Business Intelligence (BI) administration tasks.
• Tailored lightweight agent for BI platform users and developers.
• Technologies used - Java, Spring Boot, REST APIs