• Led the architecture and development of a Clean Room Platform enabling secure, privacy-compliant data collaboration across multiple business domains.

• Drove key use cases including advertising measurement, third-party integrations, and cross-functional social impact analytics.

• Partnered with Legal, Security, and Privacy teams to ensure compliance with GDPR, CCPA, and internal data governance standards.

• Delivered a scalable, high-performance platform supporting enterprise clients, significantly improving data collaboration efficiency and regulatory confidence.

Product: Customer Data Platform (CDP)

Tech Stack: Java, Spring Boot, gRPC, Apache Spark, AWS Services (S3/SQS/CloudWatch/EMR/IAM/DynamoDB)

• Co-Designed and Implemented Activation-Engine micro service and spark jobs for CDP. This component is responsible for activating data on various platforms (S3/Salesforce Marketing Cloud) based on customer defined configurations/schedules. (Team size - 6)

• Currently working on Profile Engine module. It is responsible for executing Match and Merge algorithm to match various Individual profiles and create Unified Individual Profiles.

Product: Customer Data Platform (CDP)

Tech Stack: Java, Spring Boot, gRPC, Apache Spark, AWS Services (S3/SQS/CloudWatch/EMR/IAM/DynamoDB)

• Designed and implemented solution for communication between Metadata Service and DataLake. It is Responsible for creating mapping between physical and logical entities in Data lake. (Team size - 2)

• Designed and implemented Scheduler micro service. Responsible for storing schedules for various micro services in CDP and triggering them by posting a message on the client's queue.(Team size - 2)

Product: Audience Studio

• Worked on standard data integration framework for 3rd party data ingestion

• Worked on Consent Processing Framework for consent data ingestion as a part of GDPR

compliance

• Implemented loader job to load consent data into DynamoDB with rate control.

• Currently working on competitor crawler data platform which is a module of pricing platform.

Technologies: Apache Nutch, Hadoop, Hive, Hbase, Sqoop, Mysql

• Have worked on compet tool for competitive mapping of products.

Technologies: Dropwizard, Java, Guice, JPA, Mongodb, JDBI

• Have worked on Discovery module for data import:

Technologies: Dropwizard, Apache Storm, Mongodb, RabbitMQ, Solr