Chetan Gupta

Software Engineer

Bengaluru, Karnataka, India3 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in building scalable distributed systems.
Strong background in big data technologies.
Proven track record in low latency electronic trading.

Stackforce AI infers this person is a Fintech Backend Developer with expertise in distributed systems and big data.

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Skills

Core Skills

Distributed SystemsBig Data

Other Skills

Apache KafkaAgile MethodologiesSQLC++MicroservicesJavaPython (Programming Language)Spring BootSlangWeb DevelopmentAnalytical SkillsData AnalysisStrategyHTMLCSS

About

Software Engineer with 3+ years of industry experience. Passionate about solving complex problems at scale and driving impactful solutions in fast-paced environments. Interested in Distributed, Large Scale systems

Experience

3 yrs 10 mos

Total Experience

3 yrs 3 mos

Average Tenure

7 mos

Current Experience

Uber

Software Engineer 2

Sep 2025 – Present · 7 mos · Bengaluru, Karnataka, India · On-site

Goldman sachs

4 roles

Software Engineer 2 (Associate)

Dec 2024 – Sep 2025 · 9 mos · Bengaluru, Karnataka, India

Software Engineer (Analyst)

Promoted

Jun 2022 – Dec 2024 · 2 yrs 6 mos · Bengaluru, Karnataka, India

Working in Equities Client Data Management space for Goldman Sachs Electronic Trading (GSET).
Building scalable systems that persist and distribute complex client trading preferences for low latency electronic trading

Apache KafkaAgile MethodologiesDistributed SystemsBig Data

Seasonal Analyst

Feb 2022 – May 2022 · 3 mos · Bengaluru, Karnataka, India

Added new business flow to a core application generating critical external regulatory feeds, ensuring data
accuracy and compliance under high-throughput, big data volumes.

Distributed SystemsSQLBig Data

Summer Analyst

Jun 2021 – Jul 2021 · 1 mo · Bengaluru, Karnataka, India · Remote

Enhanced a multi-threaded C++ application by enabling feeds to a new file structure. Optimized data
ingestion and transformation processes to handle millions of records with low latency and high
throughput, ensuring the pipeline’s scalability and resilience to increased trading volumes

SQLC++Big Data