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Tech Lead · 10-member team · Dallas, TX

Sajal
Suhane

Software Engineer at Goldman Sachs

Distributed systems & cloud-native architecture

ssuhane31@gmail.com

Tech I work with

JavaPythonKubernetesAWSSnowflakeSpark
Sajal Suhane, software engineer at Goldman Sachs

Impact & Results

Measurable outcomes from production systems

$1M+
Annual Cost Savings
Sybase IQ → Snowflake migration
90%
Processing Time Reduction
On-prem Spark → AWS Glue migration
135%
Faster Ingestions
Kubernetes-backed microservices
650%
Faster Query Execution
Spring Boot + Snowflake platform
  1. Software Developer – Associate

    Current

    Goldman Sachs · Tech Lead, 10-member team

    Dec 2024 – Present
    • Led the Sybase IQ → Snowflake migration, demising the legacy on-prem stack and eliminating on-prem storage dependencies
    • Architected the replacement platform: Kubernetes-backed Spring Boot microservices with event-driven ingestion, retaining all existing API contracts
    • Directed system design, roadmap planning, and cross-organizational stakeholder alignment
    KubernetesSnowflakeSpring BootContour HTTPProxy
  2. Software Developer – Analyst

    Goldman Sachs · CFOSS Division

    Jun 2023 – Dec 2024
    • Built a reusable Spark → AWS Glue migration framework, letting teams move on-prem workflows to the cloud with minimal changes ($230K savings per workflow)
    • Co-built an AI-powered knowledge chatbot indexing nested Confluence spaces, cutting support resolution from 5 hours to 1
    • Built an S3-backed computation system for Market Risk, improving workflow efficiency by 25%
    AWS GlueSparkS3Python
  3. Software Developer Intern

    Goldman Sachs · Controllers Division

    Jun 2022 – Aug 2022
    • Engineered core components of a distributed operational store processing 3B+ events/sec for Risk & Finance
    • Built a queuing-based ingestion POC with 31.7% efficiency improvement
    KafkaKibanaElasticsearchJava
  4. Software Developer

    University of Texas at Dallas · Biomedical Sensor Research

    Nov 2021 – May 2023
    • Automated cleaning and analysis of high-frequency biomedical sensor data from wearable devices, reducing manual effort by 0.6 FTE
    • Designed cross-platform apps for real-time sensor analytics (70% efficiency gain)
    PythonReal-time ProcessingCross-platform

Education · M.S. Computer Science, UT Dallas · B.E. Computer Science, SPPU

Technical Expertise

Languages

JavaPythonSQLScalaC++

Distributed Systems

Event-Driven SystemsHigh-Throughput IngestionQueuesMicroservices

Cloud & Infra

KubernetesAWS (Glue, S3, DynamoDB)DockerCI/CD

Big Data & Observability

SnowflakeSparkHadoop (HDFS, Hive, MapReduce)KibanaGrafanaPrometheus

Hiring for distributed systems or platform work?

I'm a software engineer at Goldman Sachs in Dallas — happy to talk about platform, data, or infra roles.

ssuhane31@gmail.com