Walmart Global Tech incubates next-gen e-commerce solutions in real-time. We integrate online, physical, and mobile shopping experiences for millions of customers around the globe. Continuously build and invest in new technology including open-source tools and big data innovations. Data scientists, front and back-end engineers, product managers, and the web and UX/UI teams collaborate alongside e-commerce experts to envision, prototype, and bring revolutionary ideas to life in a dynamic, flexible and fun work culture.

• Build high-performance data pipelines and prototypes that enable business use of the data.• Understands business requirements and applies them to complex software engineering and analysis.• Perform debugging using the logging system on AWS and application.• Handles Spark sessions and Docker environment for the application.• Resolves application programming analysis problems of broad scope within procedural guidelines. May seek assistance from the supervisor or more skilled programmers/analysts on various problems that cross multiple functional/technology areas.• Understands the infrastructure that allows big data to be accessed and analyzed.• Utilizes department standard issue tracking, source control, and documentation tools.

• Developed, tested, and deployed Business feature set in Node.js with Express and MongoDB backend, incorporating APIs. • Developed application using Amazon Web Service (AWS) like EC2, cloud search, Elastic load balancer ELB, Cloud Deploy and monitor scalable infrastructure on Amazon web services (AWS) & configuration management using puppet.• Involved in writing SQL queries implementing functions, triggers, cursors, object types, sequences, indexes etc.• Created Data tables utilizing MySQL utilized Jinja to access data and display it in the front end.• Worked on Automation of data pulls from SQL Server to Hadoop eco system via SQOOP.

• Configured several nodes (Amazon EC2 spot Instance) Hadoop cluster to transfer the data from Amazon S3 to HDFS and HDFS to AmazonS3 and to direct input and output to the Hadoop MapReduce framework. • Deployed project into Amazon Web Services (AWS) using Amazon Elastic Beanstalk.• Worked on Amazon Web Services (AWS) infrastructure with automation and configuration management tools such as Chef and Puppet. • Data Extraction, aggregations, and consolidation of Adobe data within AWS Glue using PySpark.• Experience in coding on various AWS services like Cloud Formation Templates, Cloud Watch, Cloud Trail, encryption, logging, and Lambda• Designed and developed Data driven, Behavior driven, TDD and Hybrid Automation framework using Selenium WebDriver and Python and performed unit testing by using Unitest and Pytest.• Developed the Pysprk code for AWS Glue jobs and for EMR

• Developed a fully automated continuous integration system using Git, Gerrit, Jenkins, MySQL and custom tools developed in Python and Bash.• Having Knowledge on AWS Lambda, Auto scaling, Cloud Front, RDS, Route53, AWS SNS, SQS, SES.• Gained Knowledge on Deploying apps using AWS Cloud Formation.• Written Cloud formation templates and deployed AWS resourcing.• Developed and executed White box test cases using Python, Unitest/Pytest/Robot framework & PyCharm/Ride.• Extended Unitest/Pytest/ Robot framework by adding some helper classes and methods• Managed, developed, and designed a dashboard control panel for customers and Administrators using Django, Oracle DB, PostgreSQL and VMWare API calls.• Developed spark applications in python (PySpark) on distributed environment to load huge number of CSV files.

• Worked on requirement gathering and High-level design.• Used Python scripts to update content in the database and manipulate files.• Converted Visual Basic Application to Python and MSQL.• Used HTML/CSS and JavaScript for UI development.• Utilized Python in the handling of all hits on Django, Redis, and other applications.• Used several Python libraries like python, NumPy, and matplotlib.