Uday Kalatturu
Development
Texas, United States
Skills
Cloud Computing
About
Uday Kalatturu's skills align with Programmers (Information and Communication Technology). Uday also has skills associated with System Developers and Analysts (Information and Communication Technology). Uday Kalatturu has 5 years of work experience.
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Work Experience
Software Automation Engineer
Larsen & Toubro Infotech
August 2018 - January 2022
- * Contributed to a UBS Wealth Management project, enhancing client lifecycle management and onboarding efficiency by 30%. * Improved financial advisor productivity by 20% through a refined Workstation for UI/API integration, boosting investment banking client data accuracy by 15% across diverse client types, including trusts and organizations by working on CICD operations and tasks. * Developed and tested code for over 9 Java application services, enhancing their scalability, efficiency, and maintainability by 30%, and ensuring alignment with design specifications. Leveraged Ansible and terrafrom for infrastructure creation and configuration management. * Demonstrated expertise in leveraging tools such as Jenkins, GitLab to enhance development workflows, reduce integration issues, and ensure rapid, reliable delivery of high-quality software solutions. * Orchestrated a comprehensive Azure-based cloud infrastructure, integrating Azure VMs, Storage, Web Apps, Active Directory, Application Insights, and Logic Apps. This multi-faceted approach provided a secure, scalable platform that supported complex financial transactions and analytics. * Facilitated a seamless transition to a microservices architecture. This significantly enhanced the project's agility and efficiency, enabling robust CI/CD workflows and ensuring the platform's scalability to meet fluctuating demands in the wealth management domain. * Leveraged Docker, Ansible, Terraform, and Kubernetes to ensure efficient deployment, management, and scaling of applications. * Collaborated with senior developers to identify and resolve technical issues, delivering solutions for 6+ projects that met both project requirements and end-user expectations, resulting in a 25% decrease in user-reported issues. * Refined SQL queries, indexes, and stored procedures, achieving a 40% increase in data processing efficiency. * Managed project code with Git and built applications using Maven, while employing Test-Driven Development, BDD and JUnit for enhanced testing and debugging, leading to a 30% reduction in post-deployment bugs. * Orchestrated the Chef infrastructure to automate the configuration and deployment processes across development and production environments. By setting up Chef repositories, workstations, and nodes, and utilizing data bags, attributes, cookbooks, recipes, and templates, I ensured a consistent, error-free deployment pipeline that significantly boosted our operational efficiency. * Troubleshooted production issues and collaborated with a cross-functional team of developers, business analysts, and project managers to deliver high-quality software products. * Assisted in the documentation of code, architecture, and other technical specifications, ensuring that all team members can easily understand the code and contribute to the project. Environments: Linux, Azure, Terraform, Ansible, Docker, Kubernetes, Jenkins, Git, Maven, Splunk, Nagios, Python Scripts, Jira, Confluence, Bitbucket, Shell scripting, Gitlab CI/CD, UNIX, CHEF
Software Development Engineer
Amazon
September 2022 - Present
- * Transitioned to the dynamic Pricing Orchestrator Service from a legacy system, automating ladder pricing and modernizing processes with Java, Spring Boot, AWS services, leading to a $20M increase in B2B GMS. * Led AWS cloud solutions deployment, enhancing system efficiency and cutting release times by 50% through pioneering engineering practices, including automated pipelines and architecture development and boosted productivity by 35%. * Excelled in 24/7 oncall support with developing documentation for multiple services and subsystems and issue root-cause analysis. * Managed and optimized AWS S3 for efficient storage handling, including setting up lifecycle policies and implementing best practices for data security and accessibility. * Contributed to the development of web-based microservices applications using Java, Spring, Spring Boot and other frameworks, implementing features such as user authentication, database integration (Oracle DB), and dynamic content generation. * Utilized AWS EC2 to deploy and manage scalable compute instances, optimizing configurations for cost-effectiveness and performance. * Crafted and managed AWS CloudFormation infrastructure, achieving consistent,scalable deployments and increasing deployment efficiency by 40%. Worked on VPC and networking configurations in multi-cloud environments. * Implemented Amazon CodePipeline, CodeBuild, and CodeDeploy to automate the software deployment process. This automation significantly enhanced our maintenance capabilities by streamlining updates, ensuring consistent deployments, and reducing the potential for human error. As a result, we achieved a more reliable and efficient development workflow, enabling our team to focus on innovation while minimizing downtime and manual intervention and improved our CI/CD by 20%, demonstrating a substantial increase in efficiency and productivity in our deployment processes. * Developed serverless applications with AWS Lambda, cutting costs by 25% and enhancing operational efficiency. Proficient in deploying containerization application images to orchestation tools like ECS and EKS. * Optimized DynamoDB for high-performance queries, achieving a 15% improvement in speed and a 20% reduction in storage costs. * Worked on declarative scripting for cloud resource creations and configuration management using open source tools. * Led the initiation and development of the B2B Large Pack Error Solution project, leveraging my expertise in RESTful API development to enhance system integration and data exchange between services. * Proficient in a range of AWS services including ECS, EKS, Cloudformation, CDK, Lambda, S3, SQS, CDK, SNS, DynamoDB, Redshift, Step Functions, and CodePipeline and Kinesis. * Conducted unit and integration testing with Mockito, reducing bugs by 40%. Engaged in code reviews, improving code quality, and advanced Agile CI/CD, speeding up deployments by 30%. Environment: Linux, Shell scripting, Java, Python, Bash, Maven, RHEL, EC2, Lambda, S3, DynamoDB, Redshift, VPC, Amazon Elastic Kubernetes Service, Amazon Elastic Container service, CodePipeline, CodeDeploy, CodeBuild, MySQL, StepFunctions, CloudWatch, GIT, CI/CD
Education
