Shrey R Email and Phone Number

 Developed entire frontend and backend modules using React and Python on Django Web Framework. Worked on designing, coding and developing the application in Python using Django MVC modulesutilizing Python, Shell scripting, XML to guarantee creation due dates are met.  Developed Restful Microservices using Django and deployed on AWS servers using EBS and EC2. Contributing in the design and creation of RESTful APIs using Python/ Django/ Django Rest Framework and Implemented. Deploy and monitor scalable infrastructure on Amazon web services (AWS) & configuration management using puppet. Worked with JSON based REST Web services and used Git as source control management, created aGit repository and added the project to GitHub. Analyzed client needs and developed software tools to assist dynamic site content creation (Python, wxPython). Responsible for setting up Python REST API framework using Django. Involved in AWS Data Migration Services and Schema Conversion Tool along with Talend ETL tool.Create, modify and execute DDL in table AWS Redshift tables to load data. Designed and maintaineddatabases using Python using Flask, SQL-Alchemy and PostgreSQL. Created continuous integration system using Ant, Jenkins, Puppet full automation, ContinuousIntegration, faster and flawless deployments. Responsible for Continuous Integration (CI) andContinuous Delivery (CD) process implementation using Jenkins along with Shell scripts to automateroutine jobs.  Worked on project deployment using Heroku/Jenkins and using web services like AmazonWeb Services (AWS) EC2 and AWS S3. Responsible for maintaining and re-setting up Python REST API framework after upgradations usingDjango. Also, implement code in python to retrieve and manipulate data. Developed the notification service by posting the JSON request in AWS API Gateway, Validating theresponse in Lambda by getting the data from DynamoDB and sending the notification through AWSSNS.

 Developed entire frontend and backend modules using Angular and Python on Django Web Framework. Worked on designing, coding and developing the application in Python using Django MVC. Builtdatabase Model, Views and API using for interactive web-based solutions. Used Django APIto access the database. Involved in development of Python based Web Services using REST for sending and getting data from the external interface in the JSON format and to perform analysis using Django. Created a Git repository and added the project to GitHub. Created a best practice Build environment using Jenkins, immutable instances, and AWS. Worked in MySQL database on simple queries and writing Stored Procedures for normalization. Deployed theproject into Jenkins using GIT version control system. Successfully migrated the Django database fromSQLite to MySQL to PostgreSQL with complete data integrity. Developing a light weighted Restful API service using Python Flask framework. Developed Application to access JSON and XML from Restful Web Service from consumer side using JavaScript.  Developed remote integration with third party platforms by using RESTful web services. Implemented CI/CD to deploy the Microservices in Kubernetes Cluster in AWS Cloud (Jenkins job thatpulls the images from Private Docker Registry and deploy services in the cloud). Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and deploy. Make pluggable UI microservice for each platform which should solve the monolithic problem of seed generation and create Docker image and deploy them into Kubernetes using Angular.  Performed unit testing by using Unittest and Pytest for the imported Hybrid Automation framework. Created the AWS Code pipeline, AWS Code Commit, AWS Code Build and AWS Code Deploy servicesto build and deployment process. Built database Model, Views and API's using for interactive web-based solutions.

 Designed and developed scalable Azure APIs using Flask web framework in Python and Integrated with Azure API Management, Logical Apps and other Azure services. Configuring microservice architecture development using Python and Docker on an Ubuntu Linuxplatform using HTTP/REST interfaces with deployment into a multi-node Kubernetes environment. Rich experience in using Jenkins, UDeploy, Octopus Deploy, Bamboo as Continuous Deployment tools to setup automated and scheduled deployments. Developed user interface (UI) using CSS, HTML, JavaScript and JQuery. Embedded AJAX in UI toupdate small portions of the web page avoiding the need to reload the entire page. Using Django evolution and manual SQL modifications was able to modify Django models while retaining all data, while site was in production mode. Wrote Python scripts for Parsing and extracting useful data from the designed data base. Development of data structures, xml parsing using Python. Migrated SQL Server 2008 database to Windows Azure SQL Database and updating the ConnectionStrings based on this and deployed the applications to Cloud. Planning and design the solution toimplement, using Azure Files Share. Prepared architecture plan to create the Azure Cloud environment to host migrated IaaS and PaaS role instances for refactored applications and databases. Converted .Net application to Confidential Azure Cloud Service Project as part of cloud deployment Configured Azure Traffic Manager to build routing for user traffic Infrastructure Migrations: DriveOperational efforts to migrate all legacy services to a fully Virtualized Infrastructure. Developed Python batch processors to consume and produce various feeds. Development of XMLs for several components which maintains data for several registers.