J

Jayanth Amol Ergola

About

Detail

California, United States

Timeline

work
Job
school
Education
folder
Project

Résumé

Jobs verified_user 0% verified
  • KeyBank
    Software Engineer
    KeyBank
    Nov 2024 - Current (2 years)
    Lead the design, development, and deployment of enterprise-grade software solutions and ETL pipelines in both Java (Spring Boot, JEE) and .NET/C#. Implement and optimize CI/CD pipelines using Azure DevOps and Jenkins, automating builds, testing, and production deployments for cloud-native and on-premises systems. Develop secure, performant RESTful APIs (Java, .NET) and web applications (Angular, React), integrating with backend micro-services and leading technical troubleshooting efforts. Work closely with business and technical stakeholders to understand requirements, translating them into functional and scalable software/data engineering designs that accelerate delivery cycles and reduce errors. Architect and maintain cloud infrastructure
  • Tata Consultancy Services
    Software Engineer
    Tata Consultancy Services
    Feb 2024 - Oct 2024 (9 months)
    Led automation of ETL pipelines and development of data platform features using Python, Java, SQL, and PowerShell. Optimized database architectures enhancing performance and data quality for Azure-based data warehouse migrations. Collaborated cross-functionally to troubleshoot and enhance client-facing applications with .NET Core, Java, Angular, and React. Championed Agile and Waterfall methodologies with code reviews, TDD, CICD using Git and Azure DevOps.
  • K
    Software Engineer
    Kaplan North America
    May 2023 - Feb 2024 (10 months)
    Developed and maintained enterprise software solutions with Java, .NET Core, and Python, driving efficient ETL processes and integration workflows. Improved data ingestion pipelines and performed data transformation tasks conforming to Azure cloud infrastructure standards. Collaborated with product managers and business teams to translate requirements into scalable software components. Utilized CI/CD tools such as Jenkins and Azure DevOps to automate build, test, and deployment pipelines ensuring secure and reliable releases.
  • B
    Junior Software Engineer
    BigTalk Technologies
    Oct 2019 - Jul 2021 (1 year 10 months)
    Contributed to the design, coding, and testing of core application logic and data pipelines using Java, Python, SQL, and Bash in on-premises and initial cloud environments. Participated in writing and reviewing specifications for software components and data processes. Assisted in implementing data ingestion, ETL routines, data model development, and basic bug fixes for production data systems. Developed and maintained process documentation, followed software development and industry best practices. Supported Agile team efforts, growing responsibilities in troubleshooting, automation, and tech stack adoption (Spring Boot, REST APIs, Angular, Oracle, PostgreSQL, MongoDB).
Education verified_user 0% verified
  • University of North Texas
    Masters in Data Engineering
    University of North Texas
    Aug 2021 - May 2023 (1 year 10 months)
  • Geethanjali College of Engineering and Technology
    Bachelor of Technology in Computer Science
    Geethanjali College of Engineering and Technology
    Jun 2016 - Sep 2020 (4 years 4 months)
Projects (professional or personal) verified_user 0% verified
  • C
    CloudMart Distributed Commerce System
    Sep 2022 - Nov 2022 (3 months)
    Engineered a distributed e-commerce platform simulating real-world microservice architecture. Implemented independent backend services for user management, inventory, and order processing using Node.js and Express.js. Designed RESTful APIs and asynchronous communication patterns to ensure fault tolerance and scalability. Built a responsive frontend using React to support real-time browsing and transactions. Optimized PostgreSQL queries for concurrent access and transactional consistency. Containerized services using Docker and implemented CI pipelines to streamline builds, testing, and deployments.
  • S
    SmartResource Hub with Predictive Allocation
    Jun 2022 - Jul 2022 (2 months)
    Developed a cloud-native resource management platform for shared academic infrastructure such as labs, compute clusters, and meeting spaces. Built scalable backend services using Java and Spring Boot to manage scheduling, availability, and access control. Integrated a lightweight machine learning model to predict peak usage periods based on historical reservation data, improving allocation efficiency and reducing booking conflicts. Designed relational schemas in PostgreSQL for transactional integrity and analytics readiness. Implemented role-based authentication using JWT and deployed the system on AWS with automated scaling and monitoring. Improved system utilization by proactively adjusting availability recommendations during high-demand