NAVYA ACHANTA
Arlington
Summary
Accomplished Software Engineer with expertise in Java and microservices architecture, previously at Wells Fargo. Successfully enhanced transaction processing systems, achieving a 30% reduction in fraud incidents. Proven ability to collaborate cross-functionally and deliver high-quality solutions that exceed performance targets, ensuring secure and efficient operations in fast-paced environments.
Overview
6
6
years of professional experience
Work History
Software Engineer
Wells Fargo
03.2022 - Current
- Built a Customer Payment Management System to streamline transaction processing, supporting multiple payment methods (credit/debit cards, ACH, wire transfers). Enhanced real-time transaction tracking and integration with Wells Fargo's internal banking systems, ensuring secure, efficient operations.
- Developed backend logic using Java and Spring Boot, optimizing processing speed for over 500,000 transactions per day.
- Designed and implemented a microservices architecture, improving the system's scalability, allowing it to handle a 100% increase in transaction volume during peak periods.
- Built and deployed RESTful APIs to integrate with 3 major external payment gateways, facilitating seamless data exchange.
- Implemented fraud detection algorithms using Python, reducing fraudulent transaction incidents by 30% through real-time detection.
- Containerized applications using Docker, leading to a 50% reduction in deployment time and easier management of multiple environments via Kubernetes clusters.
- Deployed services on AWS, leveraging EC2 instances for compute, S3 for storage, and Lambda for serverless tasks, ensuring efficiency and scalability.
- Integrated Apache Kafka for real-time data streaming, handling over 1 million transactions per day.
- Optimized database performance with MySQL and PostgreSQL, handling transaction data for over 10 million customers.
- Applied Spring Security to implement authentication and authorization, ensuring secure transactions and compliance with financial regulations.
- Conducted thorough unit and integration testing, improving system reliability by 25% through early bug detection and resolution.
- Worked closely with the QA team, performing end-to-end testing to ensure a high-quality, secure product.
- Implemented logging and monitoring with AWS CloudWatch, reducing system downtime by 40% through proactive issue identification.
- Contributed to building CI/CD pipelines with Jenkins, cutting deployment time by 60% and improving code quality consistency.
- Delivered the project on time, meeting all deadlines and exceeding performance targets, resulting in enhanced customer satisfaction.
- Collaborated with cross-functional teams to continuously improve system features, ensuring alignment with business goals and customer needs.
Software Engineer
Seven-Eleven
02.2019 - 03.2022
- Built an integrated Inventory Management System to optimize stock tracking, real-time product availability, and automated restocking processes across multiple store locations.
- Improved the system inventory accuracy, reduced stockouts.
- Developed backend services using Java and Spring Boot, handling real-time inventory updates for over 50,000 SKUs across multiple store locations.
- Designed and implemented a microservices architecture, increasing the system's scalability to handle data from more than 8,000 stores.
- Built RESTful APIs for integration with internal systems and external suppliers, automating inventory replenishment based on predictive demand algorithms.
- Integrated real-time data processing with Apache Kafka, supporting over 1 million inventory transactions per day with minimal latency.
- Optimized inventory queries and reporting systems using MySQL and PostgreSQL, reducing data retrieval times by 40%.
- Applied Docker to containerize applications and deployed them using Kubernetes, enhancing deployment consistency and simplifying management across environments.
- Integrated third-party data sources, enabling seamless integration with supplier inventory systems and improving product availability.
- Implemented a fraud detection system using Python and machine learning algorithms, reducing instances of inventory mismanagement.
- Utilized AWS services, including EC2 for compute, S3 for file storage, and RDS for database management, ensuring high availability and reliability.
- Designed an automated alerting system using AWS CloudWatch and SNS to notify store managers of low stock levels or discrepancies in inventory.
- Enhanced CI/CD pipelines using Jenkins, improving code deployment cycles and reducing manual intervention.
- Collaborated closely with cross-functional teams, including product managers, data analysts, and store managers, to refine system features based on feedback.
- Conducted extensive unit and integration testing, ensuring system uptime and minimizing disruptions during critical business hours.
- Led efforts to transition the inventory management system to a cloud-native solution, reducing operational costs.
- Delivered the project ahead of schedule, resulting in improved stock accuracy and customer satisfaction across multiple regions.
Education
Master of Science - Computer Science
Sacred Heart University
Skills
- Java
- Python
- SQL
- JavaScript
- Spring Boot
- Hibernate
- Django
- Reactjs
- Microservices architecture
- RESTful APIs
- Docker
- Kubernetes
- AWS
- Apache Kafka
- MySQL
- PostgreSQL
- Jenkins
- Git
- Docker containerization
- AWS deployment
- Database optimization
- Cross-functional collaboration
Timeline
Software Engineer
Wells Fargo
03.2022 - Current
Software Engineer
Seven-Eleven
02.2019 - 03.2022
Master of Science - Computer Science
Sacred Heart University
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