Nitish Gupta

Software Engineer

Bengaluru, Karnataka, India4 yrs 7 mos experience

Key Highlights

Achieved 5x speed increase in ETL processes.
Developed innovative load-balancing microservice.
Created NLP-driven chatbot for efficient log retrieval.

Stackforce AI infers this person is a Fintech Full-Stack Engineer with expertise in high-performance microservices.

Contact

nitishgupta1101@gmail.com LinkedIn

Skills

Core Skills

MicroservicesJava

Other Skills

AlgorithmsAngularAuto-scalingBack-End Web DevelopmentC (Programming Language)C#C++CI PipelinesCascading Style Sheets (CSS)CommunicationCucumberData StructuresELK StackElastic Stack (ELK)Elasticsearch

About

I know how to Get Things Done, working hand in hand with AI nowadays Full stack engineer with extensive experience building and scaling high-performance applications. Core skills in Java, Spring, Kafka, Golang (working proficiency) Currently, getting Global Margin Trade Data consumption sorted for Goldman Sachs using AI and Big Data tech. In my stint at Morgan Stanley, I rolled out a firm-wide centralised ETL microservice that delivered massive performance gains and cost savings. Led the development of an innovative load-balancing microservice that enabled the handling of trade volumes in billions. I am continuously honing my skills across the full stack. Eager to take on challenges that make full use of my expertise in simplifying tech. I am always in to talk about disruptive business ideas. Actively pursuing lead tech engineering roles where I can drive high-impact initiatives. Please reach out if you have any suitable opportunities!

Experience

4 yrs 7 mos

Total Experience

2 yrs 6 mos

Average Tenure

2 yrs

Current Experience

Goldman sachs

SDE-2

Jun 2024 – Present · 2 yrs · Bengaluru · Hybrid

Handling Tech for Goldman Sachs Global Margins Vertical

Morgan stanley

4 roles

Senior Technology Associate (Backend Development)

Promoted

Jan 2023 – May 2024 · 1 yr 4 mos

Developed a high-performance ETL microservice using Spring Batch, achieving a 5x speed increase and reducing RAM usage by 80%. Integrated Kafka, Prometheus, and Grafana for improved data handling and observability, setting a firm-wide benchmark. Recognized with the Morgan Stanley GRIT Award for technological innovation

Spring BatchKafkaPrometheusGrafanaMicroservicesJava

Technology Associate

Promoted

Jan 2022 – Dec 2022 · 11 mos

Architected a dynamic load distribution microservice, enhancing trade volume capacity by 3x with auto-scaling across VMs. Modernized CI pipelines with Sonar integration and revamped testing with JUnit5 and Mockito, expediting the SDLC. Pioneered a versatile service, widely adopted for optimized load distribution.

Load BalancingAuto-scalingCI PipelinesJUnit5MockitoMicroservices+1

Technology Analyst

Aug 2021 – Dec 2021 · 4 mos

Completed Morgan Stanley's rigorous 16-week TAP training, specializing in technologies like Java, C#, and Angular within agile frameworks. Spearheaded and showcased an observability project using Prometheus and Grafana, creating tailored dashboards for JVM and custom business metrics

JavaC#AngularPrometheusGrafana

Technology Analyst Intern

May 2020 – Jul 2020 · 2 mos · Mumbai, Maharashtra, India · Remote

As a Summer Intern, I developed an NLP-driven chatbot using Stanford CoreNLP-API for seamless log retrieval, streamlining access for all team members. Integrated real-time log fetching via ELK Stack in Skype and email, achieving 92% query accuracy and drastically reducing retrieval times.

Stanford CoreNLP-APIELK Stack