SiddharthKhatsuriya.github.io

Siddharth Khatsuriya

• siddharthkhatsuriya@gmail.com
• +91-8866032543
• siddharthkhatsuriya.github.io

Personal summary

Software engineer with 3+ years of professional experience and with ability to find a good balance between optimal-efficient engineering and business requirement.

Education

• M.Sc. Computer Science, Liverpool John Moores University ( pursuing 2021-2022 )
• B.Tech Computer Engineering, Dharamsinh Desai University
• Diploma Computer Engineering, Gujarat Technological University

Technologies

• Python
  • core
  • Web ( Flask, Django )
  • Automation ( selenium, cucumber )
  • Testing ( pytest )
• LAMP Stack
  • Linux
  • HTML
  • CSS
  • PHP
  • MySQL
• Android
  • Rooting
  • Custom Rom Developement
  • APK Moding

Projects

[Data Engineering piepline]

Docker, AWS ( Lambda, Step Function, Batch, EventBridge, S3, CloudMonitor, athena, glue )

A Pipeline to create private repository of weather data collected from various government sources like NOAA ISD, Meteostat, gloh2o MSWEP, etc. The data is standardized using a template and made queryable using athena+glue

[Automation Testing Cloud Architecture for Splunk Universal Forwarder]

Docker, Kubernetes, Gitlab, Argo, AWS ( EKS, ECR, EC2, SecretsManager, CloudMonitor, istio ), SignalFX

Splunk Universal Forwarder smoke testing platform developed for testing unreleased UF fro Splunk Enterprise.

[Automation Testing Cloud Architecture for Splunk enterprise and cloud]

Docker, Kubernetes, Gitlab, Argo, AWS ( EKS, ECR, SecretsManager, CloudMonitor ), SignalFX

Splunk Enterprise and Cloud smoke testing platform developed for testing unreleased test candidates.

[CI/CD and Automation Testing Cloud Architecture for Splunk addons]

Docker, Kubernetes, Jenkins, CircleCI, Github Actions, AWS ( EKS ), SignalFX, Terraform

Infrastructure as a code that deploys Splunk infrastructure on-the-go for running automation tests on Pushes and PRs to Splunk Add-on repository. CI/CD pipelines also include static code analysis, building Python modules, testing the builds, and releasing modules to Github.

[Pytest-splunk-addon] (https://github.com/splunk/pytest-splunk-addon)

Stack: python, Docker, Kubernetes

An automation test tool that takes a Splunk add-on as input and generated tests for Splunk Knowledge tests on-the-go, reducing the developers task to manually write the required tests. It aslo has an ability to deploy a dynamic fresh Splunk instance to run tests on.

[Smartx] (https://github.com/splunk/addon-factory-smartx-ui-test-library)

Stack: python, HTML, CSS, JS

An automation framework that can be used to simplify writing UI test-cases of Splunk Add-ons

[Splunk App and Add-on Developement]

Stack: React JS, Backbone JS, python, java, Bash

Developing Apps and Add-ons that works as a dala collection unit and data visualization unit on the platform. These apps and add-ons are used to simplify the data analysis.