Aman Kaushik, Full Stack Developer in Tempe, AZ, United States
Aman Kaushik

Full Stack Developer in Tempe, AZ, United States

Member since November 17, 2020
Aman has four years of software development industry experience. He has designed, built, and optimized big data pipelines, REST APIs, web applications, and SPAs and has held development ownership. His career highlights include building an ETL pipeline from scratch, reducing processing time by 62%, infrastructure cost by 26%, and error rates by 73% while also holding back-end development ownership.
Aman is now available for hire




Tempe, AZ, United States



Preferred Environment

Jira, Slack, Shell, Bash, Vim Text Editor, WebStorm, PyCharm, GitHub, Git

The most amazing... I've made is a SPA that automates the grading process for student projects involving GitHub and Taiga board analysis, used at the Arizona State University.


  • Graduate Teaching Assistant

    2018 - 2020
    Arizona State University
    • Developed a web app to evaluate GitHub repositories and Taiga boards. These repositories and boards are used to track student's semester projects. Built the app using Python3, Vue.js 2, JavaScript, and Django.
    • Developed a web app in JavaScript and Vue.js 2 to demonstrate sorting and stack data structures for OpenDoor, ASU's event for school kids.
    • Supported computer science and software engineering courses, with topics such as principles of distributed software systems, web applications programming, design and processes, and embedded computing, including Java, C, Gradle, and Docker.
    Technologies: Django REST Framework, Django, Vuetify, Vue-router, Vue CLI, Vuex, Docker, Java, Gradle, Vue 2, JavaScript, Python 3
  • Software Development Engineer Intern

    2019 - 2019, Inc.
    • Held the complete ownership of a POC project to use S3-based triggering for big data jobs. Contributed to the big data platform Horizon in the finance tech department.
    • Designed and developed the serverless architecture to take SNS and S3 events as input, extracted auxiliary data from DynamoDB, and then integrated the output using SQS with the existing code and infrastructure.
    • Set up the proprietary framework for continuous integration and deployment to AWS infrastructure. Conducted unit testing using ScalaMock and AWS SAM.
    Technologies: Amazon DynamoDB, Amazon S3 (AWS S3), Amazon Simple Queue Service (SQS), AWS Simple Notification Service (AWS SNS), AWS Lambda, Scala
  • Software Development Engineer

    2016 - 2018
    Fractal Analytics, Inc.
    • Collaborated within the back-end engineering team on developing our cloud-based product, Trial Run. Held the complete ownership for the back-end of the customer-level experimentation module.
    • Set up an ETL pipeline using PySpark, Airflow, and AWS to handle terabytes of data. Using LSH for approximate NN distance allowed us to decrease the processing time by 62% and infrastructure cost by 26% compared to the existing pipeline.
    • Re-architectured API level code using Celery, RabbitMQ, and Redis caching to handle a 95x increase in experiment data size.
    • Modified the data models, making the architecture more flexible to accommodate different data feeds from the clients.
    • Reduced the data-error rate by 73% by setting up an automated QC process before and after the ETL process, also eliminating any manual intervention required.
    • Set up a fully automated, modular deployment pipeline consisted of unit testing, post-release sanity checks, code quality assurance, artifact building and storing, and deployment to internal and cloud servers.
    Technologies: Jenkins Pipeline, Jenkins, Travis CI, Apache Airflow, Bash Script, Bash, AWS Simple Notification Service (AWS SNS), APIs, REST, JSON, Amazon Aurora, PostgreSQL, Amazon CloudWatch, Amazon EBS, Amazon Simple Queue Service (SQS), AWS EMR, Spark ML, PySpark, Apache Spark, Redis, RabbitMQ, Celery, Django REST Framework, Django ORM, Django, Python 3, Python 2
  • Software Development Engineer

    2015 - 2016
    S&P Global Market Intelligence
    • Collected and delivered financial data feeds to clients within the Xpressfeed team. Xpressfeed is S&P's powerful data feed management solution that delivers data directly into the client's workflow.
    • Implemented SQL Server long-running data jobs to process the daily market index data feed, collaborating with the index ingestion team.
    • Collaborated within the index ingestion team to implement SQL jobs replicating data to the shared data layer that enables sharing the market index data across the organization.
    Technologies: SQL Server 2012, Oracle, Java


  • OpenDoor Event Demo for ASU

    I developed a web app for visualizing four different types of sorting (bubble, selection, insertion, and merge) and push and pop operations on the stack data structure for OpenDoor, ASU’s event for school kids. The app was developed in JavaScript and Vue.js 2.

  • GTAnalyzer Web Application

    GTAnalyzer is a web application that evaluates students' work in software engineering courses. The evaluation is done on both GitHub repositories and Taiga project management boards. GitHub repositories are evaluated based on commits, pull requests, and comments, and Taiga boards are evaluated based on user stories, tasks, and burndown rates. The application can also be used to setup GitHub repositories and Taiga Board for the entire batch.

  • MindSumo Challenge | CapitalOne | Yelp Fusion API

    CapitalOne is an application developed for a software development challenge on MindSumo. The objective was to build a web application using Yelp's Fusion API to help users pick a restaurant or experience.


  • Languages

    Python 3, Python 2, JavaScript, SQL, Bash, Bash Script, C++, Java, Scala
  • Frameworks

    AWS EMR, Django, Django REST Framework, Apache Spark, Vuetify
  • Libraries/APIs

    Django ORM, Vue 2, Vuex, PySpark, GitHub API, Spark ML, Jenkins Pipeline, Stanford NLP
  • Tools

    AWS Simple Notification Service (AWS SNS), Amazon EBS, GitHub, Bitbucket, Git, PyCharm, Vim Text Editor, Shell, Slack, Amazon Simple Queue Service (SQS), AWS CloudFormation, Amazon Virtual Private Cloud (VPC), Spark SQL, GitLab, Gradle, CircleCI, Travis CI, Docker Hub, Docker Swarm, RabbitMQ, Celery, Amazon CloudWatch, Vue CLI, Jenkins, Jira, WebStorm, Apache Airflow
  • Paradigms

  • Platforms

    AWS Lambda, Amazon Web Services (AWS), Docker, Firebase, Heroku, Apache Kafka, Oracle
  • Storage

    Amazon S3 (AWS S3), PostgreSQL, MySQL, SQLite, JSON, Amazon Aurora, Amazon DynamoDB, Redis, SQL Server 2012
  • Other

    AWS Auto Scaling, Vue-router, APIs, Amazon Route 53, Firebase Hosting, Natural Language Processing (NLP), Web Scraping, Fuzzy Logic


  • Master's Degree in Software Engineering
    2018 - 2020
    Arizona State University - Tempe, AZ
  • Bachelor's Degree in Information Technology
    2011 - 2015
    Jaypee Institute of Information Technology - India


  • Introduction to Apache Spark
    edX, Inc.
  • Big Data Analysis with Apache Spark
    edX, Inc.
  • Distributed Machine Learning with Apache Spark
    edX, Inc.

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