Abhishek Gupta

CEO

Bengaluru, Karnataka, India8 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in cloud-native architectures and distributed systems.
Led significant data migration projects achieving cost reductions.
Designed innovative real-time data processing solutions.

Stackforce AI infers this person is a Fintech expert specializing in cloud-native architectures and data engineering.

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Skills

Core Skills

Amazon Web Services (aws)Cloud-native ArchitectureCloud ModernizationEvent-driven ArchitectureData ProcessingData QualityData EngineeringData MigrationCost ReductionPerformance OptimizationScalabilityReal-time Data ProcessingStreaming Architecture

Other Skills

JavaPythonApache AirflowAWS EventbridgeAmazon DynamodbAmazon S3AWS Step FunctionsSnowflakeAmazon Relational Database Service (RDS)AWS BatchAWS LambdaKedroApache IgniteDatabasesApache Kafka

About

As Vice President of Liquidity Risk Technology at Goldman Sachs, I lead the design and development of a cloud-native Liquidity Metrics Platform leveraging AWS MWAA to streamline critical calculations across hybrid environments. My work focuses on building innovative systems that enhance operational efficiency and enable advanced analytics. With an Integrated M.Tech in Mathematics and Computing from IIT Delhi, I bring expertise in cloud-native architectures and distributed systems. I am driven by the challenge of building robust and scalable platforms that address complex engineering needs in a collaborative environment.

Experience

Goldman sachs

4 roles

Vice President, Liquidity Risk Technology

Jun 2025 – Present · 9 mos

• Liquidity Metrics Platform: Leading the design and development of a cloud-native Liquidity Metrics Platform using AWS MWAA (Airflow) for scheduling and orchestration of critical calculations across hybrid environments.

JavaPythonAmazon Web Services (AWS)Apache AirflowAWS EventbridgeAmazon Dynamodb+8

Vice President, Credit Risk Technology

Promoted

Jan 2022 – May 2025 · 3 yrs 4 mos

Cloud Modernization & Platform Unification: Unified multiple business-critical workflows into a single cloud-native platform, reducing operational complexity and streamlining end-user operations; drove AWS-based proof-of-concepts that established reusable architecture patterns across the firm.
Incremental Orchestration Framework: Designed and implemented an event-driven orchestration framework (Vert.x, Kafka, Ignite) for incremental processing; migrated all aggregation workflows, reducing data latency from T+2 to T+1 and enabling near real-time analytics.
Enterprise Data Validation Framework: Architected a Spark-based validation system with 100+ domain-specific controls, significantly improving data quality coverage across all divisions.

JavaPythonApache IgniteAmazon Relational Database Service (RDS)DatabasesAmazon Dynamodb+12

Associate, Risk Data and Platforms

Promoted

Jan 2020 – Jan 2022 · 2 yrs

Data Migration: Led petabyte-scale data migration from legacy object storage to a hybrid architecture using on-prem storage and AWS S3 Glacier, enabling broader adoption across risk divisions. Migrated 0.5+ PB of Market Risk data to S3 Glacier Deep Archive, achieving a 30x cost reduction and enabling 30% storage cost savings across multiple teams.
Warehouse Performance: Improved ingestion throughput 3x by introducing milestone-based processing in Apache Spark, significantly enhancing warehouse performance.
Pricing Data Pipelines: Built scalable Apache Camel pipelines to process Kafka streams and feed multiple systems, supporting 50%+ of pricing data flows and improving maintainability.

JavaPythonApache SparkDatabasesApache CamelData Engineering+13

Analyst, Market Risk Technology

Jun 2017 – Dec 2019 · 2 yrs 6 mos

• Real-Time Ingestion Pipelines: Designed and implemented streaming pipelines using Vert.x, Kafka, and Flink, enabling scalable, low-latency data processing for mission-critical risk systems.

JavaPythonApache SparkDatabasesApache CamelData Engineering+8