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

Currently at
Goldman Sachs
Based in
Dallas, TX
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
Experience
Published research & project deep-dives- Dec 2024 – Present
Software Developer – Associate
CurrentGoldman Sachs · Tech Lead, 10-member team
- 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 - Jun 2023 – Dec 2024
Software Developer – Analyst
Goldman Sachs · CFOSS Division
- 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 - Jun 2022 – Aug 2022
Software Developer Intern
Goldman Sachs · Controllers Division
- 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 - Nov 2021 – May 2023
Software Developer
University of Texas at Dallas · Biomedical Sensor Research
- 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