Sr. Software Engineer3 years of experience Data Engineering ( Big data, pyspark, ETL ),Backend Engineering( database, networking , api development - Spring Boot, Django, Go ), Frontend Engineering( Html, CSS, JS, React on Next.js ), CI/CD - Azure DevOps, Docker, Kubernetes, LinuxCloud Computing: AzureProgramming Languages: Javascript, Java, Python, Go, TypeScriptExperience:Designed, developed, and maintained end-to-end features and components for data extraction and analytics platform that handles data from over 10 different sources with aggregate volume of over 2TB/day using Azure, Apache Spark(Databricks), Azure Data Factory, Python, Java, Spring Boot, SQL Server, Postgres, Spring Boot and NextJS(React.js Framework), driving annual savings of $500K approximately(solely from individual contributions).• Promoted to Senior Software Engineer within couple of years due to exceptional performance and contributions.• Mentored over 80 developers across different levels for transitioning into the organisation and the project as software developers and data engineers.• Enhanced and optimised the existing components of the application, improving their performance, availability, and scalability. Notably, increased the processing speed of the data pipeline up to 15000x and increasedconcurrency up to 15 large ETL jobs at a time (over 10 million records each) within the existing hardware quota. Proposed and implemented various cost-saving solutions across the application infrastructure, reducing overall operations costs by 30%.• Took ownership to work on end-to-end tasks involving enhancements, design, bug fixes and quality improvement features across Frontend, Backend, Data Engineering and DevOps based on business priority and roadmap following Aglie methodology. Integrated third party services like service now tickets and One healthcare ID(OHID) withthe Reporting Dashboard.• Extensively worked on enhancing the maintainability and reliability of the application deployed on azure infrastructure by improving more than 10 (for 3 environments ) CI/CD pipelines in Azure DevOps for Backend and Frontend (Dockerized and Deployed them on Azure Kubernetes), Data Pipelines (Deployed changes and libraries to Databricks and Data Factory) .• Worked on various support tasks related to data quality, cloud infrastructure issues and vulnerabilities. Identified common issues and developed processes to automate the scanning and possible vulnerability remediation across Backend(Java) and Frontend(React) services, saving over 50% of developer time spent in support.