SUMMARY

• 7+ years of experience as a Python Developer and coding with analytical programming using Python, Django, Flask.
• Working on Amazon Web Services, Python and the Django framework, and Very good experience with cloud platforms like Amazon AWS and Google App Engine.
• Utilize REST and AWS (Amazon Web services) in Redshift, EMR for improved efficiency of Storage and Proficient in SQL databases MySQL, Oracle and NoSQL databases MongoDB, Cassandra and Oracle. Expertise in SQL stored queries.
• In Machine learning background and skills in data science, applied research and heavy - duty coding Working on with Python programming and Python libraries for data science included in the Anaconda distribution including NumPy, pandas. Python packages like, SciPy, tables etc.
• Developed entire frontend and backend modules using Python on Django Web Framework and built numerous Lambda functions using Python and automated the process using the event created.
• Performed DevOps for Linux Mac and Windows platform and implemented a Continuous Delivery pipeline with Docker, Jenkins and GitHub (Bitbucket).
• Developed dynamic Django and Flask web apps utilizing CSS, HTML5, JavaScript and MySQL and utilized Jenkins, Git for deployment on test servers and to move towards CI/CD .

TECHNICAL SKILLS

• Python 2.7/3.0, Django, PyTables, Linux, Hibernate, XML, XSLT, Docker, Hadoop, AWS, ETL, HDFS, Flask, HBase, MongoDB, Cassandra, Agile, SCRUM, PyUnit, Apache, Splunk, CSS, MySQL, DHTML, HTML, JavaScript, AngularJS, Shell Scripts, Git, Linux, Unix and Windows, Spark, Pandas, Python API, Celery, Tornado, SQL Alchemy, MySQL, SQL, PL/SQL, ORM, microservices, Rest, PyCharm, GitLab, Git, unit test, Selenium, Jest, Mockito, Agile, Scrum, Pycharm, AWS EC2, S3, RDS DynamoDB.TFS, Google Cloud Platform, MAVEN, JSON, TFS, Linux, Nginx, Slack,, Zoom, Docker, Jenkins, Travis, Ansible, Kubernetes, Docker Swarm.

PROFESSIONAL EXPERIENCE

Confidential - Memphis, TN

Sr. Python Developer

Responsibilities:

• Implemented different Python libraries NumPy, SciPy, PyTables, matplotlib, Python-twitter, Pandas data frame and urllib2 in various tasks.
• Implemented new metrics on the Mede Analytics Software as a Service (SaaS) Patient Access Analytics platform.
• Provided application security services and security review for Colabus.com. Perform a security review of AmazonWeb services setting for Colabus application and provide migration strategy for area no cover by AWS.
• Developed entire frontend and backend modules using Python on Django Web Framework.
• Build and lead POCs for tools for internal use to support DevOps best practices using Docker for Container based Virtualization and documenting with MS Word and SnagIt.
• Developed Java/J2ee applications using Hibernate, XML, Android, XSLT, and Basic ASP. net applications including
• Built numerous Lambda functions using Python and automated the process using the event created.
• Created an AWS Lambda architecture to monitor AWS S3 Buckets and triggers a thumbnail create event whenever a user uploads a new picture.
• Acted as a liaison to the various Business groups and assists them in the implementation of security technologies and application security.
• Developed the Python automated scripting using Boto3 library for AWS Security audit and reporting using AWS Lambda for multiple AWS Accounts.
• Used Python scripts for security purposes, AWS IAM, AWS lambda functions and deploying the applications through elastic beanstalk.
• Used GO Lang scripts for uploading a file to S3 and deploying them and creating GO serverless application and deploying it to AWS lambda.
• J2EE to communicate legacy COBOL based mainframe implementations.
• Participated in project planning, design and implementation and security review for various high-profile projects including: SIAC Enterprise-Wide Intrusion Detection System, SIAC, AMEX, and NYSE.
• Migrated applications to the AWS cloud and Involved in DevOps processes for build and deploy systems.
• Collaborated with SaaS teams on AWS cost optimization projects.
• Reviewed various LUCENT product lines for security vulnerabilities.
• Implemented REST Microservices using spring boot. Generated Metrics with method level granularity and Persistence using Spring AOP and Spring Actuator.
• Analyzed current legacy infrastructure, established business case, and built consensus for virtualized IaaS/ PaaS near term strategy with SaaS mobile cloud services end state.
• Designed and developed Message Flows and Message Sets and other service component to exposeMainframe applications to enterprise J2EE applications.
• Performed DevOps for Linux Mac and Windows platform.
• Work on C# and. NET to maximize the performance of asynchronous calls to Linux environment - microservices.
• Implemented a Continuous Delivery pipeline with Docker, Jenkins and GitHub (Bitbucket).
• Utilized Jenkins, Git for deployment on test servers and to move towards CI/CD.
• Developed programs to automate the testing of RAID controller firmware and utilities using Python, Java, Bash script, Windows command line.
• Rewrote existing Java application in Python module to deliver certain format of data.
• Deployed mircoservices2, including provisioning AWS environments using Ansible Playbooks.
• Worked with different Bug & Log Tracking Tools like Splunk, Remedy, Jira and Clear Quest.
• Wrote Unit test cases for unit, integration, and functional tests, run automatically by Hudson/Jenkins in the builds triggered by each push to Git.
• Migrated the Django database from SQLite to MySQL to PostgreSQL with complete data integrity.

Environment: Python 2.7/3.0, Django, XML, Hadoop, AWS, ETL, HDFS, Flask, HBase, MongoDB, Agile, SCRUM, PyUnit, Apache, Splunk, CSS, MySQL, DHTML, HTML, JavaScript, AngularJS, Shell Scripts, Git, Linux, Unix and Windows, Spark, Pandas

Confidential - Englewood, CO

Python Developer

Responsibilities:

• Developed the presentation layer using HTML, CSS, JavaScript, jQuery and AJAX, implemented SQL Alchemy which is a Python library for complete access over SQL.
• Developed CI/CD system with Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy.
• Used Machine learning techniques like unsupervised Classification, optimization and prediction.
• Worked with Splunk log monitoring system and fixed a critical issue easily by capturing the context.
• Implemented CI/CD best practices to automate build and deployment to all environments with Chef, Jenkins and Artifactory.
• Creating IAM roles that allows access to IAM APIs to use it in the Lambda function as an execution role through the permissions policy associated with the role.
• Used AWS lambda to run servers without managing them and to trigger to run code by S3 and SNS.
• Developed views and templates with Python and Django's view controller and templating language to created user-friendly website interface.
• Worked on AWS services (S3, EC2) and deployment services (Lambda) and RDS, DynamoDB (NoSQL), Beanstalk, SQS and Jenkins CI/CD.
• Used Django configuration to manage URLs and application parameters and created entire application using Python, Django, MySQL and Linux.
• Installed, configured, and managed the AWS server and accessed database objects using Django Database APIs.
• Created a Rich Single Page Application using HTML, CSS, JSP, JSON, AngularJS, React.js, Node.js, bootstrap.js, backbone.js.
• Supported many other projects build and deployments issues with Jenkins CI/CD pipelines.
• Developed front end using Angular.js, React.JS, Node.js, bootstrap.js, backbone.js, JavaScript, where back end is Java with REST webservice.
• Developed tools using Python, Shell scripting, XML, BIG DATA to automate some of the menial tasks.
• Worked on Python-based test frameworks and test-driven development with automation tools.
• Strong experience working with real time streaming application and batch style large scale distributed computing applications using tools like Spark Streaming.
• Implemented advanced procedures like text analytics and processing using the in-memory computing capabilities like Apache Spark written in Scala.
• Responsible for debugging and troubleshooting the web application and managed the configurations of multiple servers using Ansible.
• Worked on with several Python libraries like Matplotlib, PyTest and Selenium.
• Implemented Ansible to manage all existing servers and automate the build/configuration of new servers.
• Designed and developed the UI of the website using HTML, XHTML, AJAX, CSS, BIG DATA and JavaScript.
• Performed web testing automation using selenium API, wrote automation test cases and fixing automation script bugs.

Environment: Python, Django, CSS, HTML, JavaScript, jQuery, AJAX, MYSQL, Linux, GIT.va, jQuery, MySQL, Linux, AWS, MongoDB, Pandas, Cassandra, Hadoop, Eclipse, Splunk, Perl, MATLAB, Shell Scripting, Spark

Confidential - San Jose, CA

Python Developer

Responsibilities:

• Designed User Interfaces using BackboneJS, ReactJS, jQuery, Bootstrap, JavaScript, CSS, XML and HTML and created scripts that monitored a device using Grafana.
• Designed web screens for various modules using, HTML, DHTML and CSS and used JavaScript client-side validation.
• Implemented Django MVC architectural design pattern, used Any Point Studio to integrate the Enterprise Applications to the SFDC and Ad RevOps.
• Integrated multiple data sources and databases into one system, designed, investigated and implemented public facing websites on Amazon Web Services AWS.
• Involved in the CI/CD pipeline management for managing the weekly releases.
• Used Pandas library for statistics Analysis. Used NumPy for Numerical analysis for Insurance premium and managed large datasets using Panda data frames and MySQL.
• Developed dynamic Django and Flask web apps utilizing CSS, HTML5, JavaScript and MySQL
• Python/Django based web application, PostgreSQL DB, and integrations with 3rd party email, messaging, storage services.
• Assisted in Development of SQLs/PLSQLs for Oracle 12c and MS SQL Artificial Intelligence and managed large datasets using Panda data frames and MySQL.
• Developed Spark scripts by using Python shell commands as per the requirement and worked with different Bug & Log Tracking Tools like Splunk, Remedy, Jira
• Worked Integration of Amazon Web Services AWS with other applications infrastructure.
• Created database schemas that represent and support business processes.
• Built Microservices for the delivery of software products across the enterprise, delivered automated solutions for science models
• Checked status of deployed applications & created weekly reports needed by different teams.

Environment: Python, Bootstrap, SOAP, REST, NodeJS, AWS, Django REST, MULESOFT, Flask, Django, JBoss, PyCharm, Oracle 10g/11g, XML, Java Script, CSS, HTML, GIT, pandas, Slack, Jenkins, Boilerplate, DORA (employer), Postgres, OSX, Agile, JIRA, Crucible, Atlassian, Any Point Studio, Spark

Confidential - Westlake, TX

Python Developer

Responsibilities:

• Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and jQuery.
• Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface.
• Managed local deployments in Kubernetes, creating local cluster and deploying application containers.
• Developed Java plug-ins for SonarQube server.
• Written transformations and actions on data frames, used Spark SQL on data frames to access hive tables into spark for faster processing of data.
• Used REST based microservices with REST template based on RESTful APIs and designed, developed the UI for the client.
• Worked with backend Python automation, CI pipelines, Docker and cloud provisioning/automation.
• Scheduled, deployed and managed container replicas onto a node cluster using Kubernetes.
• Developed internal API's using node.js and used MongoDB for fetching the schema.
• Worked on Node.js for developing server-side web applications, used Bootstrap front-end framework for faster and easier web development with MySQL.
• Image manipulation backend services for real time use as RESTful API
• Automated the existing scripts for performance calculations using NumPy and SQL alchemy.
• Performed debugging and troubleshooting the web applications using Git as a version-controlling tool to collaborate and coordinate with the team members
• Development of Python APIs to dump the structures in the Processor at the failure point for debugging.

Environment: Python, Django, XML, chef, Java, AWS, Kafka, AngularJS, CSS, PostgreSQL, MySQL, JSON, DHTML, HTML, JavaScript, Shell Scripts, Spark agile, Microservices, Restful, UNIX and Windows.