PREETHI HENA
Dallas, TX +1-945-***-**** *******@******.*** LinkedIn GitHub
Professional Summary
Backend Engineer with 4.5+ years of experience building high-performance systems across fintech, legal tech, and e-commerce. Proven in designing microservices, secure APIs, and cloud-native ETL pipelines using Python, Go, Java, .NET, and AWS. Engineered platforms at JPMorgan and SpotDraft that handled 10K+ requests/min and cut latency by 50%. Skilled in cloud deployment, observability, and real-world system scaling. Passionate about delivering clean, efficient, and scalable backend systems that drive product adoption, customer trust, and business value. Technical Skills
Languages: Python Go Java C# JavaScript TypeScript SQL Shell Frameworks & Platforms: Spring Boot Django FastAPI .NET 8 ReactJS LangChain Cloud & Infrastructure: AWS (EC2 S3 RDS Lambda CloudWatch ECS) YARP API Gateway Architecture & Patterns: Microservices Event-Driven Architecture Domain-Driven Design (DDD) CQRS REST APIs WebSockets
Data & Databases: PostgreSQL MongoDB Redis SQL Server Elasticsearch DevOps & CI/CD: Jenkins Git Docker AWS Lambda Amazon SQS CI/CD Pipelines Prometheus Grafana Splunk Datadog
Authentication & Security: OAuth2 ADFS Aadhaar e-Sign Asymmetric Encryption Payment Gateway Integration Tools & Utilities: RabbitMQ Chrome Extension APIs Slack SDK GitHub VS Code Postman Testing & Quality: Unit Testing Integration Testing Peer Code Reviews SDLC Best Practices Agile & Collaboration: Agile Methodologies Scrum Jira Cross-functional Team Collaboration Professional Experience
Backend Engineer
JP MorganChase – Featured Funds API & Data Platform New York, NY May 2024 – Present
• Architected and deployed Python-based ETL pipelines on AWS (using EC2, S3, RDS) to ingest and normalize mutual fund and ETF data (NAV, performance, holdings), enabling nightly refreshes and reducing stale data incidents by 90%+.
• Developed scalable microservices in Go and Java/Spring Boot, hosted on AWS ECS, exposing real-time fund data APIs with advanced filtering, search, and comparison capabilities, supporting 10K+ requests/minute under production load.
• Integrated enterprise-grade security by implementing OAuth2 and ADFS within Spring Boot APIs, enhancing token renewal and access control, which increased authentication success rates from ~90% to 98%.
• Optimized backend performance through concurrent data processing in Go and advanced indexing strategies in PostgreSQL and MongoDB, cutting median API latency by 50% (from ~400ms to 200ms) and supporting <200ms response times at scale.
• Implemented caching and in-memory data optimization with Redis, improving fund query speeds for high-traffic endpoints and reducing DB load under concurrent access spikes.
• Led observability implementation using Prometheus, Grafana, and Splunk, delivering custom telemetry dashboards and alerting pipelines that reduced incident volume by 70% and mean time to recovery (MTTR) by 60%.
• Implemented system observability using Prometheus, Grafana, and AWS CloudWatch to monitor infrastructure health, latency, and error trends, significantly improving uptime and operational awareness.
• Collaborated across a 15-member Agile team, working with React frontend developers, DevOps, QA, data engineers, and product stakeholders to deliver a 99% uptime enterprise platform aligned with business needs.
• Defined data validation standards and quality monitoring rules across the pipeline, integrating reconciliation logic and anomaly detection that reduced manual remediation by 90% and ensured compliance with financial data policies.
• Enabled digital transformation in JPMorgan's advisor and institutional tools by improving fund data speed, accuracy, and stability—leading to wider adoption of the Featured Funds platform and restoring user trust. Software Engineer
SpotDraft – Bengaluru, India Feb 2022 – Mar 2023
• Architected a scalable E-Stamping system using Django, reducing document delivery time by 85% and enabling access to Stamp Papers across 25+ Indian states.
• Designed and implemented Aadhaar e-signature integration using asymmetric encryption and secure user authentication, enabling 4,500+ contracts signed and driving $200K+ in new revenue.
• Developed a multi-tenant Slack integration with FastAPI, reducing contract upload processing time by 30% and improving user workflow efficiency.
• Integrated a secure Payment Gateway using Django and AWS Lambda, reducing transaction failures by 25% and decreasing checkout drop-off by 40%.
• Built responsive React components to streamline user payments and validation workflows.
• Collaborated cross-functionally with product and engineering teams to gather requirements, define scope, and deliver production-grade features in an Agile environment.
• Promoted code quality through unit testing, peer reviews, and strict adherence to SDLC principles. Application Developer
ThoughtWorks Technologies – Chennai, India May 2020 – Jan 2022
• Built automated microservice solutions using Java, Go, and AWS EC2, connected via Amazon SQS, reducing manual order processing effort by 60% for a major UK-based media company.
• Engineered optimized MongoDB aggregation pipelines and scheduled them via Spring Boot workers, cutting query time from 35 to 10 minutes and improving data freshness and reporting accuracy.
• Led production support operations, resolving high-severity issues using AWS CloudWatch and Datadog, reducing system downtime by 25%.
• Built Jenkins and Datadog-based monitoring dashboards to track background jobs, database performance, and infrastructure metrics, reducing incident response times and improving system reliability.
• Automated cleanup and deployment workflows using AWS Lambda, reducing debugging effort and cutting cloud infrastructure costs by 30%.
• Implemented WebSocket-based alerts for failed pipelines, improving developer response time by 45%. Education
The University of Texas at Dallas May 2025
Master of Science in Computer Science Richardson, TX Indian Institute of Information Technology May 2020 Bachelor of Technology in Computer Science Chittoor, India Projects
NexCommerce
• Built modular microservices for Products, Cart, Discounts, and Orders using .NET 8, DDD, and CQRS, ensuring clear separation of concerns and maintainability.
• Integrated RabbitMQ, Redis, SQL Server, and Elasticsearch in an event-driven architecture to enable fast, reliable transactions and search.
• Deployed services behind a YARP API Gateway, enabling centralized routing, load balancing, and throttling for external requests.
QuickGrasp
• Developed a browser extension using LangChain, OpenAI, and ReactJS to summarize web content and enable interactive Q&A.
• Improved user engagement by 30% and reduced reading time by 3–5 minutes per article, based on tracked usage data.
• Engineered dynamic content parsing and seamless UI integration to enhance user experience across diverse websites.