Yashi Kapoor

Software Engineer

Bengaluru, Karnataka, India5 yrs 4 mos experience

Highly Stable

Key Highlights

Led a team to improve data transparency by 40%
Achieved 120 man-hours savings through automation
Designed scalable ETL pipelines and microservices

Stackforce AI infers this person is a Fintech Data Engineer with strong backend engineering skills.

Contact

Skills

Core Skills

Data EngineeringJavaSoftware Development

Other Skills

InformaticaFED compliancedata transparencyreporting platformSparkAWS S3KafkaMicroservicesAgileCI/CDComputer ScienceC++ProgrammingWeb DevelopmentObject-Oriented Programming (OOP)

About

As an Associate at Goldman Sachs with a strong foundation in backend engineering and data platforms, I thrive at the intersection of finance and technology. Over the last few years, I’ve led and contributed to impactful initiatives—from designing scalable ETL pipelines and microservices to spearheading automation projects that saved hundreds of man-hours and improved reporting accuracy and compliance. My work spans a range of technologies, including Java, Spark, Kafka, AWS, and Informatica, and I’ve had the opportunity to lead agile teams, mentor peers, and drive innovations in data transparency and system performance. Whether it's optimizing critical financial reports for regulatory compliance or architecting robust systems for long-term scalability, I’m passionate about solving complex problems with clean, efficient, and future-ready solutions. Let’s connect if you’re interested in building reliable systems, driving data excellence, or simply sharing ideas around tech phone number - +918600909508 email id - yashikapoor98@gmail.com

Experience

5 yrs 4 mos

Total Experience

4 yrs 9 mos

Average Tenure

7 mos

Current Experience

Amazon

SDE2

Oct 2025 – Present · 7 mos · Bengaluru, Karnataka, India

Goldman sachs

4 roles

Associate

Promoted

Dec 2023 – Oct 2025 · 1 yr 10 mos

FRY14MnQ Lead - Controllers Engineering: Led a 3-member team to build a dynamic reporting
platform aligned with FED compliance, improving data transparency by 40% and reducing processing time by
35%
Built an ETL pipeline using Informatica, Legend, and Java, eliminating dependency on legacy systems and
reducing manual adjustments by 40%
Designed a self-service adjustment tool with features like maker-checker validation, row-level entitlements, and
data freeze functionality-cutting processing time by 35%
Used copliot to improve task efficiency

InformaticaJavaFED compliancedata transparencyreporting platformData Engineering

Analyst

Promoted

Jul 2021 – Dec 2023 · 2 yrs 5 mos

Spearheaded CRA automation using Java Spark, AWS S3, Kafka, achieving 120 man-hours savings per
quarter and 35% faster ETL runtimes
Architected a scalable distributed reporting system with microservices and Kafka, reducing month-end
support incidents by 25%
Mentored 20+ interns and new hires on design patterns, debugging, and internal tools like Legend, Slang,
Data Lake, Pure and Alloy

JavaSparkAWS S3KafkaData Engineering

Seasonal Employee

Jan 2021 – Jul 2021 · 6 mos

Collaborated with cross-functional teams to transition a legacy application to Java, rebuilding core
components resulting in a 30% reduction in runtime errors and enhanced system stability
Integrated external reporting tools such as Axiom and Suade for standardized, automated report generation
Drove Agile practices, implemented CI/CD pipelines, and ensured rigorous test coverage across modules

JavaAgileCI/CDSoftware Development