Shubham Pandey

Software Engineer

Hyderabad, Telangana, India9 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Designed tax compliance platform for 300k EU sellers.
  • Achieved 60% automation in identity verification workflow.
  • Led creation of investor dashboard for comprehensive reporting.
Stackforce AI infers this person is a Fintech-focused Software Engineer with expertise in AWS and data-driven solutions.

Contact

Skills

Core Skills

Amazon Web Services (aws)Data Models

Other Skills

Relational DatabasesAWS Step FunctionsAWS LambdaDynamoDBAWS GlueNLPElasticSearchFault IsolationOperational SafetyData VerificationSNSFargateFront-End DevelopmentDesign ReviewRegulatory Risk

Experience

9 yrs
Total Experience
2 yrs 6 mos
Average Tenure
4 yrs 4 mos
Current Experience

Amazon

2 roles

Software development engineer 2

Feb 2022Present · 4 yrs 4 mos

Amazon Web Services (AWS)Relational Databases

Software Engineer

Feb 2022Present · 4 yrs 4 mos

  • Seller Compliance (Current)
  • Tax Compliance Platform: Designed and built an end-to-end platform automating tax registration validations for ~300k EU sellers using AWS Step Functions, Lambda, DynamoDB, and Glue for orchestration, processing, and notifications.
  • Impact: Derisked $40B GMS against potential regulatory actions. Reduced manual validation load by 80% and ensured all impacted events were processed within the 24-hour SLA.
  • Enforced ~5,800 bad actor sellers in 3 months of launch
  • ML-Based Identity Verification: Built a system to automatically validate seller-submitted tax identities against external data sources using NLP. Achieved 60% automation of the verification workflow, projected to save 63 headcount in 2026 while maintaining over 99% accuracy.
  • Multi-Region Event Pipeline: Designed an event-driven data pipeline (SNS + Fargate) across 4 EU regions, replacing a synchronous API design (~500 TPS) with an async model (~50 TPS) for better fault isolation and lower cost. Built config-driven killswitch for operational safety. Achieved 100% test coverage with 1.7:1 test-to-code ratio.
  • Production Safety & Reliability: Designed and implemented kill switch mechanisms, automated anomaly detection, and operational runbooks. Established design review standards for operational safety, raising the engineering bar team-wide.
  • Selection Guidance (2022 – 2024)
  • Recommendation Platform: Built a backend-driven platform serving personalized product recommendations based on listings and demand forecasting. Achieved 10,000+ daily views in the first month.
  • Data Grid Architecture: Evaluated and chose a client-side data model over the org-standard server-side approach, saving ~7 weeks of development. Built custom filtering components with zero backend calls post-render.
  • Data Model Optimization: Proposed a normalized, entity-agnostic data model during a peer team's design review, saving ~6 GB of storage and reducing ElasticSearch compute.
  • Catalog Scaling: Designed backend to expand produ
AWS Step FunctionsAWS LambdaDynamoDBAWS GlueNLPElasticSearch+5

The d. e. shaw group

Senior Member Of Technical Staff

Dec 2020Feb 2022 · 1 yr 2 mos · Hyderabad, Telangana, India

Front-End Development

D.e. shaw & co.

Senior Member Technical

Dec 2020Feb 2022 · 1 yr 2 mos

  • Investor Dashboard: Led creation of a consolidated dashboard integrating 20+ team datasets, enabling comprehensive reporting and multi-level analysis of 200+ investor metrics.
  • Enhanced data accuracy and operational efficiency by designing verification protocols for cross-team data aggregation.

Goldman sachs

Analyst

Jun 2017Dec 2020 · 3 yrs 6 mos · Bengaluru Area, India

Front-End Development

Education

Indian Institute of Technology, Roorkee

B.Tech — Computer Science and Engineering

Jan 2013Jan 2017

Indian Institute of Technology, Roorkee

Bachelor of Technology — Computer Engineering

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