Sashaank Ramakrishnan

Application Development Analyst

accenture•  December 2021 - Present

• Developed a highly scalable and efficient serverless application on AWS Lambda using Python. • Utilized the Python Flask Framework to develop robust and secure RESTful Backend APIs that facilitated seamless communication between the frontend and backend components of the application. • Involved in developing a compelling Frontend Application using Angular having a user-friendly interface and capable of handling around 5000+ concurrent users. • Employed infrastructure-as-code principles to automate and optimize the deployment process, thereby ensuring the dependable and efficient delivery of software applications, specifically through the utilization of Terraform and Gitlab CI/CD pipelines. • Provided guidance and mentorship to new developers, aiding in their onboarding process and facilitating their technical growth. Assisted team members in understanding best practices, coding standards, and architectural patterns. • Created efficient Python scripts that optimized test data creation and pre-production testing. Developed innovative solutions that reduced testing time and enhanced overall productivity, resulting in time savings of up to 90%.

Application Development Associate

accenture•  October 2019 - December 2021

• Utilized expertise in TOSCA Testsuite to create robust and comprehensive end-end test scripts that encompassed various aspects of the software application. • Leveraged knowledge of Gitlab CI/CD pipelines to automate the deployment process to Pivotal Cloud Foundry thereby ensuring seamless and efficient application releases. • Successfully developed and implemented highly efficient and reliable deployment pipelines using Gitlab CI/CD. These pipelines automated the entire process, from the build and testing phases to the seamless deployment of the applications. • Developed insightful visualizations and crafted queries in Splunk and Datadog that offer real-time visibility into crucial aspects such as application performance, system health, and security. These dashboards and queries have proven instrumental in facilitating informed decision-making and ensuring the overall effectiveness of monitoring and analysis efforts.