At Oracle Data Cloud's Moat, I worked on a comprehensive technological re-architecture project aimed at improving agility and scalability in the integration of Moat's product with Twitter and Google.The project involved moving from server-to-server (S2S) integration to a generic API approach and selecting the most suitable technology stack for various integrations.We utilized a range of cutting-edge technologies, including Apache Airflow, EMR, Postgres, PySpark, S3, Python, and BigTable to achieve our goals.The main objective was to create a more efficient and effective Adtech platform that would gather data from top Ad platforms and provide relevant metrics to publishers, enabling them to gauge the success of their advertising campaigns.

Responsible for mentoring and managing a team of 3+ engineers in Freshworks's observability platform.My team provided a better telemetry solution (metric solution & alert management solution) to our in-house products. This product helped us optimize the infra cost by reducing the Third Party licensing fee.Tuned InfluxDB in such a way it can handle data up to 200MBps and 25 million series cardinality per node. Worked on scaling the in-house telemetry system for much higher data volumes.We have built an alert management system that is helping our product engineering team to get notified whenever an alert occurs.Tech Stack: Kinesis, Telegraph, Kapacitor, Influxdb, SNS, Alerta, Logstash, Java, Grafana to implement telemetry solution.

Designed the Scheduling System for MMT which is replacing cron jobs Tech Stack: Cassandra, Akka, Kafka, JavaLead UUID project for PostSales team and Optimised booking summary Tech Stack: CouchDb,Rabbit Mq,Java,RedisOptimised build process of PostSales. Tech Stack: MavenDeveloped a new framework for PostSales to reduce query time using CouchDb and Redis. Tech Stack: Java,CouchDb,MySql, RedisDeveloped the front-end framework for Holidays Post Sales.Written cancellation flow for MMT Holidays.

-- Making System more scalable and efficient. -- Design and Implemented Referral System(Buyer Referral, Seller Referral).-- Bifurcation of System in sync and async task to improve overall system performance.

Writing API's for PayUMoney in Java using spring FrameWork (https://www.payumoney.com/)-- Implemented Payment Module in PayuMoney.-- Implemented Webstore, Webfont, Invoice Apis-- Added Merchant, Aggregator, Customer And Admin DashBoard's-- Implemented Daily Reporting System Using Apache Velocity Template-- Write Migration Script For Payment Module DB which was in Elgg Framework to less complex newly designed tables