• Constructed a concourse pipeline and Python scripts to calculate the percentage of message loss in the canary data pipeline and send a PagerDuty alert in case of data loss employing ansible playbook and Elasticsearch• Created Elasticsearch watcher and flask app to send email notifications to app owners in case of messages in deadletter-logstash using Python, Ruby, ansible, Elasticsearch, and logstash• Set up Prometheus alerts to report errors in the data pipeline for the product – Logging as a Service (LAAS) that manages logs from multiple application teams

• Led the team to design read replica-based and snapshot-based disaster recovery strategies for different types of RDS databases harnessing SNS, SQS, lambda and step function to reduce database recovery time by 90%• Enhanced and deployed an application (RDS Bulk Tool) to production which can provision bulk RDS (Relational Database Service) across multiple AWS accounts through AWS CFT and STS by taking parameters leveraging an excel sheet, which lessened provision time by roughly 65%

• Enhanced a surveillance application to protect customer’s property with IoT (Internet-of-Things) data collected through video monitoring and tracking devices like sensors• Established user sign-in with MFA using AWS Cognito and NodeJS REST APIs required for assessment tool using AWS API Gateway, lambda, and Dynamo DB• Developed lambdas for generating automated PDF certificates and sending an email to users, which saved approximately 2 hours’ worth of manual work every day

• Converted monolithic architecture of Node JS APIs (CRUD) to microservice architecture for appointments, orders, carriers, lots, pallets, loads, warehouse customers, drivers, and inventory holds modules, which boosted the response time up to 50%• Automated unit testing of APIs leveraging libraries such as mocha, chai, and sinon• Constructed Object-Relational (O/R) mapping for PostgreSQL harnessing Sequelize (promise-based NodeJS ORM) and improved data persistence

• Built an application to display status and error information related to processed video files and filter data based on various fields• Implemented client-server architecture employing Angular and NodeJS (socket.io library) to process requests from multiple clients at the same time

• Led a group project to develop an "InfyTV" web application leveraging Java, JavaScript & Angular• Accomplished Object-Relational mapping by making use of Hibernate and Oracle database to improve data consistency