- Building Spark pipelines using EMR interacting with Hudi and Snowflake.- Building Data lake infrastructure from ground up - ingestion, storage, compute, orchestration and security in AWS.- Migration of existing ingestion to new debezium-kafka based architecture with 1B+ records/day running on Kubernetes.- EU Data segregation for snowflake and Kafka.- Using Terraform to build the IaC.- Tooling to improve the overall observability of the data platform.

- Building Streaming Data Platform using Java SDKs, Kafka Streams, Kafka Connect on the Confluent cloud platform, AWS S3 and Snowflake.- Stream CDC events using debezium.- Building reporting APIs in Python using Serverless stack - API Gateway, Lambda, S3, S3 triggers- Use Docker, Kubernetes and Terraform to setup infra as code.

- Realtime monitoring and analytics using kafka Streams. Build a data pipeline to consume data stream of events and provide alerts and insights to improve the time to root cause. Working on using ML to perform anomaly detection based on time series based metrics.- Led multiple scrum teams in the Paypal Disputes domain to deliver the new disputes experience. Provided architecture and vision along with being involved in implementation, performing code reviews, coding and troubleshooting.- Led DR exercise for the Customer Service applications. Worked with multiple teams, architects, business teams to coordinate a DR exercise across multiple applications and test DR readiness.

- SOAP services - Java- ASF services - C++- Pega Business Process modelling for Paypal Disputes framework.- REST

Data Warehousing infrastructure project.Web Development using Django

- Worked in the R & D as a software developer.