Aman Mittal

Software Engineer

Bengaluru, Karnataka, India5 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Designed scalable systems processing terabytes of data daily.
  • Led operational excellence initiatives reducing overhead by 40%.
  • Implemented real-time monitoring tools adopted by multiple teams.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in E-commerce with strong data engineering capabilities.

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Skills

Core Skills

JavaCi/cdData EngineeringAws

Other Skills

Amazon TezAnsibleBig Data AnalyticsBootstrapC++CSSCloud ComputingData StructuresDynamoDBEnglishHTML5HadoopJava Database Connectivity (JDBC)JavaServer Pages (JSP)Linux

Experience

5 yrs 8 mos
Total Experience
5 yrs 8 mos
Average Tenure
5 yrs 8 mos
Current Experience

Amazon

4 roles

SDE-2 (Checkout Experience)

Feb 2025Present · 1 yr 4 mos

  • Designed the integration and state management protocol between Amazon Tez (Now) and Amazon Checkout Stack, enabling seamless state
  • synchronization and transition from Tez client to Checkout backend with expansion in IN and US stacks.
  • Led design and implementation of policy‑based enforcement and scalable governance using Amazon’s internal policy‑as‑code platform
  • (Dogma) to standardize quality across 350 decentralized CI/CD pipelines. Defined custom logic to detect plugin pipelines via naming patterns
  • and deployment metadata, enabling precise rule targeting without central ownership. Ensured all partner code changes triggered mandatory
  • integration and localization validations, reducing production risks and improving test coverage across the plugin ecosystem.
JavaAmazon TezCI/CDpolicy-as-code

SDE-2 (Transportation and Financial System)

Promoted

Oct 2022Jan 2025 · 2 yrs 3 mos

  • Led the design for a macro‑batching reconciliation system with a scalable, generic architecture, enabling seamless onboarding for 70+ Amazon
  • client systems across four regions via a self‑serve UI. The system processes terabytes of transportation and financial data daily, detecting a $1.5B
  • discrepancy between manifests and invoices in 2024.
  • Led the design and implementation of a real‑time, end‑to‑end SLA measurement tool, enabling Amazon client teams to automate alarming and
  • monitoring of processing delays between their systems. The tool has been adopted by over 20+ client systems and their sub‑systems, providing
  • real‑time reports and dashboards for enhanced stakeholder visibility.
  • Designed a generic data pipeline that enables teams to seamlessly publish data from push‑based systems (SNS, SQS, etc.) to S3 for batching
  • and auditing use cases. Leveraging a plugin‑based architecture and configurable setup, teams can build custom pipelines with automated
  • alarming and monitoring integrated into their AWS accounts. Currently adopted by 50+ client system teams, the pipeline eliminates the need
  • for custom implementations, saving approximately three weeks of SDE effort per team.
  • Led operational excellence initiative by analyzing recurring production failures, implementing standardized on‑call processes, and driving major
  • improvements that significantly reduced operational overhead by 40 % and reduction in weekly incoming high severity tickets by 35%.
macro-batching reconciliationreal-time SLA measurementdata pipelineAWSData Engineering

SDE

Aug 2020Sep 2022 · 2 yrs 1 mo

  • Designed and implemented a high‑throughput, low‑latency config management system in Java using Coral, backed by an in‑memory cache and
  • DynamoDB (sub‑10ms P99 under 10K+ TPS). Supported dynamic refresh, TTL invalidation, IAM access controls, and CloudWatch observability.
  • Adopted by 30+ services, reducing config rollout time and improving backend reliability.
  • Implemented comprehensive integration testing using the Hydra framework, enhancing the team’s pipeline towards full Continuous Integration
  • and Continuous Delivery (CI/CD) capability.
  • Led operational excellence initiative by analyzing recurring production failures, implementing standardized on‑call processes, and driving major
  • improvements that significantly reduced operational overhead by 40 % and reduction in weekly incoming high severity tickets by 35%.
JavaDynamoDBCI/CDintegration testing

SDE INTERN

Jan 2020Jul 2020 · 6 mos

  • Worked on the expansion of infrastructure stack deployment across multiple AWS regions, facilitating seamless client team onboarding in dif‑
  • ferent geographical locations.
  • Created extensive self‑service documentation enabling new members and away team clients to efficiently onboard with minimal supervision

Linux world informatics private limited

Summer Training

May 2019Jul 2019 · 2 mos

Education

Birla Institute of Technology, Mesra

BE - Bachelor of Engineering — Computer Science

Jan 2016Jan 2020

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