Kapil Sharma

• In coordination with various downstream teams, designed and implemented the process to transitionally ledger manually billed fees, which helped Stripe with audibility, financial reconciliation and explainability for ~2.5M revenue.
• Automated then manual process of paying a share of revenue back to merchants via automated billing engine (~30k fee records per second), hence reducing any risks of misbilling, saving about ~72 hours of manual effort per month, and improved our SLAs for ~40M in payouts.
• Re-architecting existing Fee dataset to help reduce online data storage by ~60%

Tech Stack: Java, Spark, Scala, Python, Kafka, Flink, S3, Mongo, SQS

SDE 3

• Led an initiative (with 4 developers) of creating unified login and registration experience (accounts.ayco.com) for all clients, and successfully migrated ~1M clients over to the firm's unified client data store which resulted in boosting referral business across different products within GS
• Collaborated with firmwide IAM and client data store teams while implementing various low level application designs and functional flows
• Created internet facing Rest APIs, and back-end processes using kafka messaging queue to ensure data sync across various systems.
• Responsible for code reviews & giving feedback to ensure code maintainability & extensibility across various squads.

SDE 2

• Architectured and implemented Central Audit Library, a Java-based, scalable REST service, and library that simplifies the publishing of privacy data access events to dedicated Kafka topics, enabling transparent and secure auditing.
• Built internal tools for financial coaches to be able to view their client's demographics and persist their financial data, increasing coach efficiency by more than 50% based on feedback

SDE 1

• Developed a framework which enables async message processing (using MongoDB as backing store) including retries and alerting.

Tech Stack: Java, Spring, SQL, REST, API Gateway, MongoDB, Kafka, Apache

• Website to retrieve crash reports for Samsung Pay App from
  emails and display analysis to developers to give a detailed insight into app crashes