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Yashi Tripathi

@yashitripathi

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Software Engineer at Goldman Sachs who cut reconciliation calculation runtime by 30% and report queries by 75%.

India

Message

At Goldman Sachs, I optimized a trade-processing pipeline with Kafka, AWS, and DynamoDB, clearing a 200,000-message backlog and reducing processing time from 24+ hours to 4 hours.

I also migrated journal processing from a legacy Union Journal architecture to a Variance Journal table using Java Spring, Spark, Snowflake, and AWS Glue. The work reduced calculation runtime by 30%, dashboard query latency by 75%, and storage overhead by 38 million records per day.

Earlier at Goldman Sachs, I built CI/CD validation controls and schema versioning for downstream machine-learning services, and integrated fraud-detection algorithms into a Java Spring Boot backend.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer (Analyst)

Current

Goldman Sachs

Jul 2024 - Present (2 years 3 months)

Architected high-scale event-driven data pipelines using Kafka and AWS, optimizing trade processing and reducing latency. Led initiatives in monitoring, reporting, and legacy system migration, significantly improving performance and reducing technical debt.

Seasonal Analyst

Goldman Sachs

Jan 2024 - Jun 2024 (5 months)

Engineered automated CI/CD validation controls and a unified schema versioning system to resolve pipeline failures and ensure data integrity for downstream machine learning services.

CI CD Airflow S3 Schema Evolution Machine Learning Data Validation

Summer Analyst

Goldman Sachs

Jun 2023 - Aug 2023 (2 months)

Integrated real-time fraud detection algorithms into a Java Spring Boot backend, processing complex JSON datasets to identify anomalies and mitigate financial risk for transaction banking clients.

Java Spring Boot JSON Fraud Detection Real time processing