Python Developer
Current•Used Python to write data into JSON files for testing Django Websites. Created scripts for data modelling and data import and export.•Used J Query and Ajax calls for transmitting JSON data objects between frontend and controllers.•Involved in building database Model, APIs and Views utilizing Python, in order to build an interactive web-based solution.•Worked on creating and documenting POC for helping migrate the current application to micro service architecture. The architecture included Docker as the container technology with Kubernetes and worked on with REST API.•Used glassfish containers in amazon ec2 cloud servers for deployment•Setup Amazon EC2 instance, integrated Amazon S3 with the Scrum pad, and did the automatic deployment by Capistrano.•Installation/manage oracle database including databases on AWS (Mongo, RedShift, RDS)•Performed troubleshooting on customer environments, web applications, network configurations, and end-user usability for the API Gateway and API Developer Portal.•Created the domains, application servers and load balancers using WebLogic 9.0•Created data pipelines for different events to load the data from DynamoDB to AWS S3 bucket and then into HDFS location.•Working with the JIRA tool for Quality Center bug tracking•Developing Microservices using Spring Boot, Spring AOP, RabbitMQ for transporting and fetching data.•Created micro-service APIs for page classification, image processing and OCR, and extract text data from scanned documents.•Created step function by micro-service lambda function in AWS and used ingestion framework.•Worked primarily with the back-end team where the coding language was solely based on Python and Django to use fast Api, flask frame work was used in some cases. (NumPy, SciPy, Pandas, OpenCV, boto3, nltk)•Also, many restful APIs and endpoints were created to process paper transactions and deliver superior real time visibility needs of importers, exporters, and freight forwarders.