Ayush Sharma

Backend Engineer

Bengaluru, Karnataka, India3 yrs 9 mos experience

Key Highlights

Expert in backend development and API solutions.
Delivered critical projects under tight deadlines.
Skilled in transitioning architectures to microservices.

Stackforce AI infers this person is a Backend Developer in Fintech, specializing in API development and data processing.

Contact

Skills

Core Skills

JavaSpring Boot

Other Skills

AJAXAPI DevelopmentAmazon S3BlockchainCascading Style Sheets (CSS)Core JavaDatabasesDjangoETLElasticsearchEvent Driven ProgrammingExtract, Transform, Load (ETL)GitHTMLJavaScript

About

As an SDE-1 at Goldman Sachs, I work with the Credit Risk Technology team to deliver innovative and robust solutions for the financial sector. My expertise lies in Backend development/engineering, API development in Java Spring Boot, working with Event-driven systems, and creating data pipelines using ETL frameworks. I have delivered some tight-deadline projects by US regulatory bodies. My core interests lie in backend development, and designing scalable systems. In my free time, I enjoy unravelling the inner workings of technology and systems.

Experience

Thoughtspot

Member of Technical Staff 3

Nov 2024 – Present · 1 yr 4 mos · Bengaluru, Karnataka, India · Hybrid

JavaSpring BootETLKibanaElasticsearchMongoDB+4

Goldman sachs

Analyst (SDE-1)

Jul 2022 – Jan 2025 · 2 yrs 6 mos · Bengaluru, Karnataka, India · On-site

Working with the Credit Risk Technology team. I've had the privilege of working with cutting-edge technologies, including Java Spring Framework, React, Typescript, ETL tools, ORM tools like Mithra, and the powerful SecDb platform.
1. Created REST APIs in Spring Boot and batch process to calculate and persist TCL of 30K counterparties in Database (Sybase ASE). Enhance the performance of the system by 73% using Visual VM Profiler. Enhance the performance of the system by 73% using Visual VM Profiler.
2. Integrated Gross market value into the monitoring and workflow process using Java and Spring Boot. Developed data pipeline using VLF (ETL) and Sybase IQ for US regulatory reporting.
3. Migrated the TCL tier approval process from a monolithic architecture to microservice architecture and workflows. Identified, debugged, and performed root cause analysis for 165 workflow(BPMN) failures, and created a monitoring dashboard using Kibana and Elasticsearch.
4. Scaled Shortfall limit calculation from 75K counterparty to 100K counterparty by moving from batching to incremental (Event-driven) architecture using Java Vert.x framework and Amazon AWS S3 storage. Created data pipeline to query data from different sources and persist into Snowflake (Cloud storage) using on-prem VLF (ETL) framework.