Sr Software Engineer
CurrentResponsible for developing, deploying and automating various AWS resources in Cloud- basedinfrastructure using Cloud Formation Template.• Used FastAPI framework, REST API and AWS services for Web application. Developed Python basedAPI (Restful Web Service) to track the events and perform analysis using FastAPI.• Used Postman tool to test RestAPI request and response.• Analyzing data using Pandas, Matplotlib, NumPy libraries and visualizing data using Tableau.• Making Salesforce data available to consumers in real-time and on demand using AWS resources(App Flow, Event Bridge, Lambda, SQS, SNS, CloudWatch Alarm, DLQ, Kinesis Stream).• Deployed SQS queue provisioned resource to receive the Dead Letter Queue (DLQ) from failedworkflow and trigger the Lambda to redirect failed event to Kinesis stream and send notificationusing SNS, CloudWatch Alarm.• Managed, developed, and designed a dashboard control panel for customers and Administratorsusing Django1.10, Jinja, Oracle DB, PostgreSQL, and VMWare API calls.• working on building amazon-EKS from scratch by using EKSCTL and creating multiple node-groupsand Namespace according to the application requirement.• working on building Amazon-EKS cluster microservices deployments using Amazon Code-Pipelinesand Amazon ECR.• Performed downstream data consuming using Secrets Manager, Lambda to write data toDynamoDB and data is available when triggered through AWS API Gateway.• Used AppFlow to enable applications to Integrate with applications hosted on SaaS systems(Salesforce) and transfer the data between AWS platform and SaaS Platform Seamlessly.• Proficient in SQL databases MySQL, PostgreSQL, Oracle and MongoDB.• Optimization of Hive queries using best practices and right parameters and using technologies likeHadoop, YARN, Python, PySpark.• Written Python utilities and scripts to automate tasks and to transfer data into S3 bucket usingboto3.