Ayush Goel

Software Engineer

Bengaluru, Karnataka, India4 yrs 6 mos experience

Key Highlights

  • Co-founded a data platform used by 1000+ engineers.
  • Launched PayCode, increasing checkout completions by 28%.
  • Mentored hundreds of engineers in DSA and System Design.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in scalable systems and payment solutions.

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Skills

Core Skills

Distributed SystemsData PlatformsSystem DesignPaymentsTeachingData StructuresAlgorithmsMachine LearningJava

Other Skills

AWS Identity and Access Management (AWS IAM)AWS LambdaAirflowAmazon DynamodbAmazon Web Services (AWS)Architectural DesignBack-End Web DevelopmentC (Programming Language)C++Cascading Style Sheets (CSS)Checkout experienceCloud ComputingCloud InfrastructureCommunicationCompetitive Programming

About

💼 About Passionate Software Engineer specializing in scalable backend systems, distributed data platforms, and high-impact architectures. I enjoy solving complex engineering challenges and building systems that operate at real-world scale. With 4+ years of experience, I’ve worked across DoorDash and Amazon (Payments & AWS), building large-scale backend and data systems with a strong focus on system design, performance, and reliability. 🚀 Experience & Impact DoorDash (DataHub – Data Platform Team): Co-founded and scaled a company-wide data platform used by 1000+ engineers, analysts, and scientists. Built ingestion, metadata, lineage, governance, and quality features powering petabytes of data and trillions of messages across Kafka, Snowflake, Airflow, Delta Lake, Tableau, and ML pipelines. Amazon (Digital & Emerging Payments): Helped launch PayCode across USA, Mexico, and Italy. Delivered architecture migrations and performance improvements that increased checkout completions by 28%, improved CPU utilization 4x, and drove 35% growth in new-to-Amazon customers. Scaler Academy (Teaching Assistant): Mentored hundreds of engineers in DSA + System Design, resolving 1500+ technical queries and conducting live problem-solving sessions. Among the earliest and top-rated TAs. 🛠 Core Skills Java • Python • C++ • Spring Boot • Distributed Systems • AWS • Kafka • Snowflake • Docker • Airflow • Data Platforms • REST APIs • Microservices • OOP • SQL/NoSQL • System Design • Data Engineering 🌟 What drives me Building scalable backend systems, improving developer experience, and solving technical problems through clean architecture and data-driven engineering. Always open to connect around engineering, startups, system design, or backend opportunities — feel free to reach out at ayush.goel350@gmail.com 🚀

Experience

4 yrs 6 mos
Total Experience
2 yrs 8 mos
Average Tenure
1 yr 10 mos
Current Experience

Doordash

Software Engineer 2

Aug 2024Present · 1 yr 10 mos · Pune, Maharashtra, India · Remote

  • Software Engineer II — DoorDash
  • (Data Platform / DataHub Team)
  • 💡 About DataHub:
At DoorDash, data is the lifeblood of customer experience. DataHub is to data what GitHub is to code — a platform that empowers teams to discover, manage, and trust datasets across the company.
  • 🚀 What I Worked On:
  • Co-founded DoorDash’s DataHub Platform, used by 1000+ engineers, data scientists, and analysts to manage and explore datasets company-wide.
  • Built core features for Data Ingestion & Metadata Extraction (Push Model), Data Discovery & Search, Data Lineage & Impact Analysis, Data Governance & Access Control, and Data Quality Monitoring.
  • Partnered with the Acryl open-source team to design a large-scale distributed system powering thousands of critical datasets across Kafka, Snowflake, Airflow, Delta Lake, Tableau, and ML Platform.
  • Helped the platform scale to petabytes of data and trillions of streaming messages, powering Tier-1/2/3 datasets central to DoorDash’s data ecosystem.
  • Built custom extractors and user-facing features, helping grow monthly active users (MAU) to ~600+.
  • 🧩 Beyond Core Work:
  • First backend engineering hire for DoorDash India — helped set up local processes, on-call systems, and engineering culture from scratch.
  • Defined SLOs for services and APIs, created runbooks, and built internal documentation to reduce operational overhead.
  • Authored developer onboarding guides, codelabs, and wikis, enabling smoother onboarding for new engineers.
  • Delivered a tech talk on DataHub to the entire India team to drive awareness and adoption.
  • Conducted 50+ interviews and was part of 35+ debriefs for L4/L5 backend roles across India and the U.S. in H1 2025, contributing to DoorDash India’s early growth.
  • DoorDash internal Hackathon — built an LLM-based Customer Feedback Bot for merchants to improve store ratings. The project was selected among the Top 6 AI/ML implementations among 200 teams and reviewed by leadership for production use.
Back-End Web DevelopmentDistributed SystemsSystem DesignJavaOpen-Source SoftwareSoftware Infrastructure+9

Amazon

Software Development Engineer - I

Apr 2021Dec 2023 · 2 yrs 8 mos · Gurugram, Haryana, India · Hybrid

  • (Amazon Payments — Digital & Emerging Payments Team)
  • 💳 About the Role:
Part of the Amazon Payments team, focused on building and scaling PayCode, a payment method enabling customers to complete purchases using cash at partner locations across global marketplaces.
  • 🚀 Key Contributions & Impact:
  • Worked on the end-to-end launch of PayCode in USA, Mexico, and Italy, enabling seamless checkout for millions of new customers.
  • Contributed to enhancing the checkout experience by building features and UI flows across PSP, SPC, TYP, YO, OD, and PDF instruction pages, improving overall usability and conversion.
  • Proposed and led a major architecture migration — moving a critical service from an “away-team” dependency to a self-owned architecture, reducing enhancement and development effort from 2–3 SDE weeks to just 3 days.
  • Launched the feature “PayCode as Default Payment Method” in Italy, increasing successful checkout completions by ~28%.
  • Optimized infrastructure by analyzing service hardware usage, improving CPU utilization from 10–15% to 55–60%, significantly reducing operational cost and improving team credit score.
  • Partnered with Product and Engineering Managers to improve customer engagement by introducing illustration-based UIs, redesigned layouts, and new visual elements — driving 35% growth in New-to-Amazon (NTA) customers via PayCode.
  • Led resiliency improvements across services through load & stress testing, issue prioritization, and enhanced monitoring, directly improving system reliability and availability.
  • Defined new service alarms, handled multiple on-calls, and resolved long-pending operational issues — resulting in better service uptime and team efficiency.
  • Conducted knowledge-sharing sessions and authored service-level documentation, helping onboard new engineers, interns, and support staff effectively.
  • Mentored interns through project delivery and tooling ramp-up, ensuring smooth handovers and successful project completions.
Back-End Web DevelopmentDistributed SystemsSystem DesignAmazon Web Services (AWS)JavaAmazon Dynamodb+20

Scaler

Teaching Assistant

Feb 2021Dec 2022 · 1 yr 10 mos · Remote

  • Teaching Assistant — Scaler Academy (InterviewBit)
  • 📍 Remote / Part-time
  • 🎓 About the Role:
Worked as a Teaching Assistant (TA) for Scaler’s Software Engineering program, helping engineers strengthen their foundations in Data Structures, Algorithms, and System Design.
  • 📘 Key Contributions:
  • Conducted live doubt-solving and group sessions, breaking down complex algorithmic and system design problems for learners.
  • Assisted students in debugging, optimizing, and understanding real-world coding interview questions across a wide range of DSA topics.
  • Among the earliest TAs at Scaler, and resolved 1500+ student doubts and problems, consistently maintaining one of the top TA ratings across batches.
  • Played a key role in mentoring and guiding hundreds of aspiring engineers toward mastering technical interviews and improving problem-solving skills.
Cross-functional Team LeadershipCommunicationTeachingData StructuresAlgorithmsCore Java+5

Pepcoding education private limited

DSA and Development Bootcamp

Mar 2020Feb 2021 · 11 mos

  • Worked on various data structures and algorithms and their real world application and web development projects.
Problem SolvingCore JavaData StructuresAlgorithmsObject-Oriented Programming (OOP)

Coding blocks

Machine Learning

Jun 2019Jul 2019 · 1 mo

  • Worked on various Classification and Regression Machine Learning Problem Statements and Algorithms.
Python (Programming Language)Machine Learning AlgorithmsMachine Learning

Coding ninjas india

Java with Data Structures

Jun 2017Aug 2017 · 2 mos

  • Training on core Java and Foundational data structures and algorithms.
Core JavaJavaProblem SolvingData StructuresAlgorithmsObject-Oriented Programming (OOP)

Education

Maharaja Agrasen Institute Of Technology, Delhi

Bachelor of Technology - BTech — Computer Science

Vivekanand School

All India Senior School Certificate Examination(Class XII) — Science

Vivekanand School

All India Secondary School Examination(Class X)

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