Developed and deployed robust, scalable applications using Python, Django, and Flask on various platforms, including Red Hat Enterprise Linux, CentOS, and AWS Cloud.Utilized Git and GitHub for source code management, including branching and merging. Conducted end-user training for all GitHub users to effectively use the tool.Leveraged PostgreSQL, MySQL, and MongoDB for data management and implemented various database architectures as per the project requirements.Implemented and maintained RESTful APIs and microservices using Flask/Django REST Framework.Used Amazon Web Services (AWS) extensively, including EC2, RDS, S3, and Lambda for deploying applications, managing databases, and storing assets.Employed AWS CloudFormation for creating and provisioning AWS stack resources and automated infrastructure setup.Utilized AWS CloudWatch for monitoring and alerting of production servers and application performance.Used Docker for containerization of applications to ensure consistent operation across different environments.Worked with Kubernetes for orchestrating and managing Docker containers, allowing for scaling and automated deployment of applications.Leveraged Ansible for automating application deployment, configuration management, and infrastructure orchestration.Used Jenkins for continuous integration/continuous deployment (CI/CD), integrating it with Git, GitHub, and Ansible to create an automated build and deployment pipeline.Worked with JavaScript frameworks like Angular and React to develop front-end user interfaces. Utilized Redux for state management in React applications.Worked with Webpack and Babel to optimize, transpile, and bundle code for production deployment.Managed project workflow and documentation using Atlassian tools like Jira and Confluence.Utilized agile methodologies, including Scrum, for organizing and managing work.Wrote various scripts in Python and Bash for automating tasks.

Managed the deployment of multiple Python web applications on servers, enabling password-less communication and utilizing shell scripts for automation.Deployed Django and Flask applications to Nginx web server and Gunicorn application server.Administered and engineered Jenkins for managing regular build, test, and deployment cycles as a CI/CD process, integrating with SVN/GIT for version control and following a Dev/Test/Prod branching model.Utilized Python's extensive library ecosystem for log analytics, full-text search, and application monitoring.Developed infrastructure as code using AWS Cloud Formation templates to ensure successful deployment of Python web applications and databases.Leveraged AWS services like EC2, RDS, VPC, Auto-scaling, and Elastic Load Balancers to provide robust and scalable environments for applications.Designed cloud-hosted solutions with a deep understanding of AWS product suite.Created and modified Puppet scripts to automate the deployment of applications and the setup of environments.Converted production support scripts to Python for more straightforward maintenance and better compatibility within the stack.Managed configurations of server instances using Puppet, improving systems management.Built and managed a large deployment of RHEL Linux instances with Puppet automation.Used Puppet for configuration management of web applications, config files, and database commands.Set up Jenkins jobs to deploy applications to Docker containers, further enhancing the development and deployment process.Implemented Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins and Python, automating routine tasks.Designed and developed a configuration management database (CMDB) using Python and PostgreSQL to maintain and audit everyday configuration changes.

Leveraged Jenkins and Docker to set up a Continuous Integration/Continuous Deployment (CI/CD) pipeline, automating build, test, and deployment processes of Python-based applications.Utilized Docker for the creation, deployment, and running of applications by encapsulating them into containers. This allowed for continuous development, testing, and deployment of applications with the same environment setup.Managed development activities across multiple server instances, enabling passwordless SSH communication for secure and efficient interactions.Deployed Python web applications using Nginx and Gunicorn on AWS EC2 instances.Utilized AWS services like RDS for PostgreSQL database management and S3 for storage to facilitate application functionality.Worked with Puppet for configuration management, ensuring consistent deployment and operation of servers and applications across different environments.Employed Terraform for infrastructure as code, streamlining and versioning infrastructure setup in AWS cloud environment.Utilized ELK stack (Elasticsearch, Logstash, Kibana) for log monitoring and analysis to identify issues and improve application performance.Used Jira for project management, tracking development progress, and resolving issues.Customized Confluence to create an interactive and dynamic knowledge management system that aligned with existing workflows.Managed the application release cycle, including development, testing (QA), user acceptance testing (UAT), and production environments, ensuring successful and on-time delivery of features.Utilized tools such as Selenium for automated testing to maintain the quality and reliability of the software.Implemented RESTful APIs and GraphQL for smooth data interchange between front-end and back-end applications.Worked on front-end development using JavaScript, React, and Node.js, ensuring seamless user experience.

Proficient in Python programming language, with a solid understanding of core concepts and syntax.Developed and implemented Python scripts for automating tasks and improving workflow efficiency.Familiarity with popular Python frameworks such as Django or Flask for web development.Experience in utilizing Python libraries and modules for data analysis, manipulation, and visualization (e.g., NumPy, Pandas, Matplotlib).Strong problem-solving skills demonstrated through resolving coding issues and debugging Python programs.Knowledge of database concepts and experience working with SQL for data retrieval and manipulation.Understanding of version control systems like Git for collaborative development and code management.Familiarity with front-end technologies such as HTML, CSS, and JavaScript for building user interfaces.Strong attention to detail in writing clean, well-documented, and maintainable Python code.Proven ability to learn new technologies and programming languages quickly, adapting to changing project requirements.Excellent communication and collaboration skills, working effectively in team environments and contributing to project discussions.A self-motivated and proactive learner, constantly seeking opportunities to expand Python skills and stay updated with industry trends.