Mar 2023 – Mar 2024 · 1 yr · Bengaluru, Karnataka, India

• ● Mongo/Redis/Dropwizard Upgrade:
• Successfully led a cross-functional team in upgrading the core
• technology stack, including MongoDB, Redis, and Dropwizard, resulting in improved system performance, security, and scalability.
• Developed and documented best practices and guidelines for maintaining the upgraded technology stack, ensuring long-term stability and ease of management.
• Skills: Java8, Mongodb, Redis, Dropwizard(Upgradation of dependent libraries like mongo morphia, Jackson, Lombok, ning, etc )
• ● Binary Cache:
• Led the design and implementation of a binary cache system to optimise the storage, retrieval, and management of binary cache data, resulting in all instances having same cache version and overall system efficiency and reduces MTTR(Mean Time To Recovery) of application.
• Designed and developed a highly scalable binary cache system, utilising Execution chain coding practices so that new caches can be onboarded easily.
• Skills: Java17, Mongodb, Redis, MySQL, Dropwizard, Grafana, JUnit, SonarKube, QuartzSchedular, GCS

Feb 2021 – Mar 2023 · 2 yrs 1 mo · Bengaluru, Karnataka, India

• ● Improving Delivery Speed:
• Worked to create a system for improving the delivery speed from scratch that include the creation of design document, taking the various call to scale the system and finally getting the service available after completing the code part as well.
• Skills: Java8, Dropwizard, Mongodb, Varadhi(message bus implementation with REST interface), MySQL

Nov 2019 – Feb 2021 · 1 yr 3 mos

• Birla CARE: This is an application to restart safe work from office. It has features like
• Roster, Proximity distance, Push notification, SNS, SES with proper validations and unit tests.
• Machiq: This project is migrated to Django Rest Framework as it was previously implemented without DRF using Django templates. The front-end is migrated from Django templates to react.
• Indeed DataOps: Our project implements a ETL pipeline in which we extract data from mutiple data sources using pipelinewise and then with the help of DBT we transform data and load it to data wharehouse for further analytics.

Aug 2019 – Oct 2019 · 2 mos