• Automated DevOps server infrastructure setup using Ansible and Python scripts, improving efficiency and consistency.• Enhanced speed, scalability, and efficiency of the CI/CD pipeline through Python automation.• Built reusable CloudFormation templates to automate and manage AWS EC2, RDS, and VPC resources, streamlining provisioning across environments.• Implemented key AWS services including EC2, ELB, Route53, S3, CloudFront, SNS, RDS, and IAM to optimize project workflows.• Set up and configured AWS infrastructure components, including VPC, S3, EBS, Auto Scaling Groups, and RDS, leveraging CloudFormation.• Developed and managed Ansible playbooks with roles for deployment automation, creating inventory files for seamless deployment across systems.• Created and managed Docker containers for lifecycle management, including snapshots, monitoring, and efficient container orchestration.• Automated deployments using AWS CodePipeline, Jenkins, and IAM, deploying virtual servers on EC2 for robust infrastructure.• Wrote AWS Lambda functions in Python for data transformations and analytics on EMR clusters and Kinesis data streams.• Automated deployment processes using Python scripts and Boto3 for AWS resource management without accessing the console manually.• Orchestrated infrastructure with Terraform and CloudFormation, using Ansible YAML scripts for automated resource provisioning in AWS and OpenStack environments.• Deployed and managed containerized applications using Kubernetes, handling Pods, ConfigMaps, and Services for efficient scaling and resource allocation.

• Participated in the entire lifecycle of the projects including Design, Development, and Deployment, Testing and Implementation and support. • Developed multi-threaded standalone app in Python, to view Circuit parameters and performance. • Developed web applications in Django Framework's model view control (MVC) architecture and manipulated databases by using Django database API along with MySQL.• Developed backend modules using Python on Django Web Framework.• Designed and developed a horizontally scalable APIs using Django. • Using Amazon EC2 command line interface along with Bash/Python to automate repetitive work.• Used the AWS -CLI to suspend on Aws Lambda function used AWS CLI to automate backup of ephemeral data stores to S3 buckets.• Worked with View Sets in Django-REST framework for providing web services and consumed web services performing CRUD operations.• Created multiple Python and UNIX shell Scripts for various application-level tasks.• Created Terraform scripts for EC2 instances, Elastic Load balancers and S3 buckets. Implemented Terraform to manage the AWS infrastructure and managed servers using configuration management tools like Chef and Ansible.• Used Test driven approach for developing the application and implemented the unit tests using Python Unit test framework.• Wrote and executed various MYSQL database queries from Python using Python-MySQL connector and MySQL dB package.• Implemented Cron jobs to perform scheduled tasks using Shell scripting. • Responsible for debugging and troubleshooting the web application.

• Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface. • Developed the customer complaints application using Django Framework.• Implemented web applications using Django framework following MVC architecture. • Developed Restful API's using Django and SQLAlchemy data models as well as ensured code quality by writing unit tests using PyTest.• Worked on Python Open stack API's. • Used Python libraries like BeautifulSoup for web scrapping to extract data for building graphs.• Created entire application using Python, Django, MySQL, and Linux. • Setup Docker on Linux and configured Jenkins to run under Docker host• Developed the required XML Schema documents and implemented the framework for parsing XML documents.• Created a Git repository and added the project to GitHub. • Utilize PyUnit, the Python unit test framework, for all Python applications.• Worked in MySQL and NoSQL database on simple queries and writing Stored Procedures for normalization and renormalization.

• Requirement Analysis and Estimation of project timelines.• Created Business Logic using Python to create Planning and Tracking functions.• Developed Python batch processors to consume and produce various feeds.• Developed internal auxiliary web apps using Django framework with CSS / HTML framework.• Involved in designing, constructing, and documenting various object-oriented applications.• Built database Model, Views and API's using Python for interactive web-based solutions.• Used Python scripts to update the content in database and manipulate files.• Used RabbitMQ (Message Queues) for reliable and asynchronous exchange of important information between multiple business applications.• Designed, developed, implemented, and maintained solutions for using Docker, Jenkins, GIT, Puppet for micro services and continuous deployment.• Wrote SQL Queries, Store Procedures, Triggers, and functions in MySQL Databases.• Coordinate with SMEs, other architects, and senior technical staff to identify client’s needs, document assumptions, and build-out new requirements and move code through user acceptance testing.• Implemented Test Driven Development (TDD) strategy for the project.• Developed and executed User Acceptance Testing portion of test plan.

• Developed a comprehensive hospital management system leveraging Python and Django REST Framework for robust backend functionality, ensuring scalability and maintainability.• Designed and implemented an intuitive user interface using Bootstrap, HTML, and CSS, significantly enhancing the application's user experience and accessibility.• Secured the application by implementing role-based access control (RBAC), providing distinct levels of access and functionality for patients and employees, ensuring data privacy and security.• Developed RESTful APIs to facilitate dynamic features, such as appointment scheduling, medical report access, and employee management, seamlessly integrating updates using JavaScript.• Optimized database performance by writing efficient SQL queries and employing indexing techniques in MySQL, resulting in faster data retrieval and reduced load times.• Integrated additional features for employee management, including time tracking, leave requests, and notification systems, improving operational efficiency through task automation.• Collaborated within a cross-functional team, leveraging Agile methodologies to prioritize tasks, track progress, and deliver features iteratively. Tools like JIRA were used to manage sprints and ensure timely delivery.• Gathered user feedback through testing sessions and utilized insights to improve system performance, functionality, and user satisfaction.• Ensured code quality through rigorous testing, adhering to industry best practices for maintainability and scalability.