Satya Jupalli

• Collaborated with cross-functional stakeholders including product managers, analysts, and trading operations teams to enhance Flex ONE, a buy-side Order Management System (OMS), improving order lifecycle processing and operational efficiency by 20% across portfolio management workflows. • Built scalable microservices and distributed backend services using Java and Spring Boot, developing high-performance RESTful APIs that optimized financial data retrieval and reduced service latency by 25% across transaction and reporting systems. • Developed responsive AngularJS trading dashboards with advanced UI components and client-side optimizations, improving user engagement and interface responsiveness by 30% for internal analysts and operations teams. • Automated complex financial data pipelines using Spring Batch and Python, enabling transaction reconciliation, settlement processing, and operational reporting while increasing batch processing efficiency by 20%. • Optimized PL/SQL queries, stored procedures, and triggers for high-volume financial datasets, improving trade reporting performance and reducing database query execution time by 30%. • Engineered cloud-native infrastructure on AWS (EC2, Lambda, S3, RDS) to support distributed banking services, reducing infrastructure costs by 20% and improving deployment speed by 25%. • Contributed to platform engineering initiatives by developing reusable service templates, standardized API patterns, and deployment configurations that reduced new microservice setup time by 35% for internal engineering teams. •Strengthened application security by implementing OAuth2 and JWT authentication, improving access control and aligning services with enterprise Dev SecOps and banking security standards. • Developed an AI-enabled knowledge platform using Python, RAG architectures, Lang Chain, and Chroma DB vector databases, enabling instant querying of compliance policies and operational documents and reducing search time by 40%.

• Contributed to the Walmart Ecommerce Customer Experience (IRO) Tier-0 platform, developing scalable microservices that power high-traffic retail experiences including item page, search, browse, and advertising systems serving millions of requests. • Developed high-throughput backend services using Java, Reactive Java, and Spring Boot within the Item Read Orchestrator (IRO) layer, integrating with 40+ distributed resource systems to provide a unified real-time item data source for upstream platforms such as CXO, Ads, and ItemPage. • Implemented lightweight IRO Cache APIs using Cassandra and Memcache, optimizing network I/O and data retrieval to deliver low-latency responses for high-volume consumers including Ads, personalization, and carousel services. • Designed role-based UI workflows using React and Vite, enabling secure operational dashboards and internal tools using role claims, token scopes, and modern authentication mechanisms. • Deployed and managed containerized services in Linux-based cloud environments, provisioning 50+ Azure resources including Application Gateway, VNets, Azure SQL Serverless, Front Door, and App Services using Terraform infrastructure-as-code. • Improved system performance by optimizing network routing, Azure Application Gateway configurations, and asynchronous I/O operations, while implementing intelligent auto-pause/resume logic for Azure SQL Serverless, reducing service latency by 40%. • Built automated CI/CD pipelines using GitHub Actions and Maven, enabling reliable microservice builds, automated testing, and continuous deployments across distributed environments. • Strengthened observability and reliability engineering by integrating centralized logging and monitoring using Splunk and Grafana, enabling real-time service metrics, alerting, and faster incident resolution.