• Involved in the development of the application using Python, HTML, CSS3, bootstrap, AJAX, JSON and jQuery. Designed a Web Application based on Multi-Tier Architecture using the current most popular web technologies like HTML5, CSS3, JavaScript and RESTful Web Services.• Responsible for designing and engineering on-premises to off-premises CI/CD docker pipelines (integration and deployment) with AWS Cloud services - ECS, Glue, Lambda, firehose, and kinesis stream, providing data engineering support to enterprise data management efforts, such as the development of enterprise data model and master and reference data.• Proficient in monitoring and performance tuning of Kafka clusters, utilizing tools such as Confluent Control Center, JMX metrics, and Kafka logs analysis to optimize throughput, latency, and resource utilization.• Streamlined data using SQL based database like MySQL and used Hibernate ORM to reduce data extraction time and worked on ETL Migration services by developing and deploying Lambda functions in AWS for writing to Glue (AWS).• Wrote python scripts to parse XML documents and load the data in database and developed web - based applications using Python, CSS and HTML.• Achieved business process automation via applications developed using Git, Gerrit, Jenkins, MySQL and custom tools developed in Python and Bash.• Created Python and Bash tools to increase efficiency of retail management application system and operations; data conversion scripts, AMQP/ Rabbit MQ, REST, JSON, and CRUD scripts for API Integration.

• Developed advanced graphing, debugging, and error handling tools specifically tailored for investigating neural network and agent failures. Created intuitive and effective tools to analyze and visualize network behavior, identify issues, and implement solutions for increased reliability and robustness.• Proficient in using Kubernetes Helm to package, deploy, and manage applications as Kubernetes charts, simplifying the deployment and management process and promoting code reusability.• Wrote python scripts to extract data from HTML form and place data using Django framework and used python to manipulate data and manage data in the server-side.• Using Kafka's publish-subscribe model and message queuing patterns, utilizing Kafka's key features such as topics, partitions, and offsets to enable reliable data streaming and event-driven architectures.• Incorporate an ambulance tracking functionality using Apache Kafka along with AWS tools to automate the process in the application so that all stakeholders can track the patient and ensure preparedness for medical emergency.