• Developed automation and processes to enable teams to deploy, manage, configure, scale, monitor applications using Python in AWS Cloud. • Developed the back-end web services using Python and flask REST framework using JWT.• Managed storage in cloud using Elastic Block Storage(EBS), S3, created Volumes and configured Snapshots. • Developed spark applications in Python using PySpark on distributed environment to load huge number of CSV files with different schema in to Hive ORC tables.• Integrated Apache Kafka with Elasticsearch using kafka electricsearch connector to stream all messages.• Deployed applications on AWS DevOps tools (CodeBuild, CodeDeploy, CodePipeline) as well GitHub, Maven, SVN, Jenkins• Experience working GraphQL APIs via client side JavaScript or server side via Node.js. Developed web applications using react.js, D3.js, jQuery. Used frameworks such as Bootstrap and Angular.

• Developed Applications in Windows and going to deploy it in Linux server.• Utilized Active Record eager loading to improve rendering time of index pages, incorporated up/down voting, reviewing, and several custom sorting methods for shows to provide smooth user experience.• Supported the development of BI portal with development in SQL.• Worked with AWS Lambda functions to create automatic loading data into S3 buckets and also transfer them to DynamoDB• Used AWS boto3 module to handle all the functions and events related to AWS • Created and maintained user accounts, profiles, network security and security groups, using AWS-IAM. • Experience using AWS - Cloud Watch and created alerts for instances

• Developing Microservices, and creating API’s with Python Django framework using Jenkins as a build tool and enterprise level database.• Developed tools using Python, C++, Shell scripting, XML to automate some of the menial tasks, modified existing Perl scripts to Python. • Designed, developed, and implemented the ETL pipelines using python API (PySpark) of Apache Spark on AWS EMR.• Developed test scripts using Python and Robot framework for automation purposes.• Migrated quality monitoring tool from AWS EC2 to AWS lambda and built logical datasets to administer quality monitoring on data warehouses.• Decent experience in UNIX in developing the application and familiar with all its commands. • Experienced with Unit Testing, Functional Testing and Regression Testing on the embedded software for Powertrain modules which includes Application layer and core Features. • Understanding of message queuing, steam processing, and highly scalable ‘big data’ data stores.