Configured Projects on Tamr (ML Tool) for data transformation and mapping of data from different data sourcesManipulated and validated subsidiary data using Python, Regular Expression (Regex), and Pandas. Wrote and executed several complex SQL queries in AWS glue for ETL operations in Spark data frame using SparkSQL.Worked on different services of AWS like lambda, sns, cloudwatch, RDS, S3 etc.Executed end-to-end user acceptance testing (UAT) procedures using Python to accurately monitor the new system performance, resulting in enhanced customer satisfaction.Created lambda function for performing validation checks using Python language. Executed unit, integration & web application testing using the PyUnit framework to ensure quality assurance of all Python applications.Constructed AWS servers for importing volumes, launching EC2 & RDS instances, and creating security groups with auto-scaling & load balancers (ELBs) in a virtual private connection and developed an AWS server to store data and facilitated defect analysis during UAT/SIT phases.Involved in detailed discussions on mapping of different data sources (HubSpot, Salesforce etc).Configured AWS EC2 instances and the stage on S3 buckets. Moreover, Perform S3 buckets creation, policies and IAM role-based policies and configure user access levels. For continuous integration and continuous delivery (CI/CD) on Amazon EC2 Jenkins was Used.

Created the Automation scripts using Python for testing applications as well as the integration of this application (APIs &UI's) based on REST calls using Python, phrasing the JSON responses. Defined collections to store data in Mongo DBDesigned, involved in code reviews and wrote unit tests in Python and Updated the site with JavaScript, Python, Django and SQL. Developed Restful microservices using Flask and deployed on AWS servers using EBS and EC2Created a Python/Django-based web application using Python scripting for data processing, MySQL for the database, and HTML/CSS and High Charts for data visualization of the served pages. Used REST-based microservices with REST format considering RESTful APIs and outlined, and built up the UI for the customer sites by utilizing HTML, CSS and React.js. Utilized Python libraries NumPy, Twisted and Matplotlib.Implemented user interface guidelines and standards throughout the development and maintenance of the website using HTML, CSS, and JavaScript.Developed reporting applications using node.js, JavaScript, data tables, MongoDB, and Elasticsearch, develop programs to automate the testing of the controller in CI/CD environment using Python, Bash script, Git and Linux command linePerformed CI/CD pipeline automation in a private cloud using Jenkins shared libraries and multibranch pipeline and automated the static code analysis through SonarQube in Jenkins pipeline for checking code quality.

Implemented business logic, data exchange, and XML processing and created graphics using Python and Django. Developed restful Web-services using the Django Rest framework in Python. Developed applications using JavaScript, ReactJS for frontend, RESTful web services, and MySQL for Backend and deployed in AWS. Created a Handler function in Python using AWS Lambda that can invoke when the service is executed and Added support for Amazon AWS S3 and RDS to host static/media files and the database into Amazon Cloud.Used HTML5, CSS3, ReactJs, and jQuery for developing the front end and Bootstrap to build a single-page web app that communicates with the back end via RESTful API. Developed web services using Restful technology to support JSON and XML. Implemented RESTful Web Services for data transportation between multiple systems. Designed and documented RESTful APIs for the collection and retrieval of high-volume Max, Min and Mean statistical data. Developed remote integration with third-party platforms by using RESTful web services. Wrote Python code to simplify lists in Python with list comprehension and Python OOP. Worked with POSTMAN for API testing and created User Model for the application.

Developed Views and Templates with Python and used Django's view controller and template language for the Web application.Automated different workflows, which are initiated manually with Python scripts and Linux bash scripting. Developed a web application for developers to generate their own REST API calls in Python.Deployed Application using AWS EC2 Standard Deployment Techniques and Worked on Amazon web services (AWS) infrastructure with automation. Worked on CI/CD environment on deploying applications to Docker containersWrote code to support the model-view-controller (MVC) pattern of the Python Django framework in developing several modules for the application.Developed an Application to access JSON and XML from Restful Web Service from the consumer side using JavaScript. Developed remote integration with third-party platforms by using RESTful web services. Used Restful APIs to access data from different suppliers. Designed REST APIs that allow sophisticated, effective and low-cost application integration. Implemented RESTful Web-Services For sending and receiving data between multiple systems.

Involved in Developing a Restful service using Python Django framework and Used Amazon Elastic Beanstalk with Amazon EC2 to deploy the project into AWS.Responsible for developing a data pipeline with Amazon AWS to extract the data from weblogs and store it in Amazon EMR.Generated an API Reference guide to help application developers for creating software applications to store data using DDN S3 (compatible with Amazon S3 API) or DDN OpenStack Swift API calls.Worked in container-based technologies like Docker, Kubernetes and Open shift and used Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to KubernetesAdded support for Amazon AWS S3 and RDS to host static/media files and the database into Amazon Cloud and worked on migrating data to Amazon AWS. Used AWS products like EC2, IAM, RDS, Log Monitor, Lambda, and REST API Gateway.Maintenance and continues development of the applications in PL/SQL procedures, ETL modules and shell scripting using best practices.