Arun Donti
Senior Software Engineer - DevOps at Twitch
Washington DC-Baltimore Area United States
Summary
🤩
Rockstar🎓
Top SchoolArun Donti is a Senior Software Engineer specializing in DevOps, DevSecOps, and cloud infrastructure with 11 years of hands-on experience across AWS Professional Services and developer tooling. Currently at Twitch after multiple senior roles at AWS, he has built automation and infrastructure-as-code solutions that help teams deploy resilient, secure systems at scale. He has contributed to high-profile open-source projects like the AWS CDK and QnABot, improving autoscaling, Redshift parameter management, and Elasticsearch-based telemetry pipelines. Arun combines deep backend and infrastructure expertise with practical customer-facing consulting experience, enabling fast proof-of-concept delivery and production hardening. Based in the Washington DC–Baltimore area, he pairs a Computer Science degree with business and data science minors—bringing a product-aware, data-driven approach to cloud engineering. An early maker with embedded systems and robotics experience, he retains a practical, systems-level curiosity that informs his infrastructure design choices.
11 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Major:Computer Science. Minor:Business. Minor:Data Sciences, Bachelor’s Degree, Major:Computer Science. Minor:Business. Minor:Data Sciences at Worcester Polytechnic InstitutePingree School, South Hamilton, MA, 01982
Telugu, English
Github Skills (27)
aws-redshift10
autoscaling10
amazon-kinesis10
amazon-elasticsearch10
typescript10
cloud-infrastructure10
amazon-redshift10
elasticsearchquery10
aws10
aws-elasticsearch10
typescript-types10
infrastructure-as-code10
elasticsearch10
typescripts10
ias10
Programming languages (10)
Github contributions (5)
aws-solutions-library-samples/qnabot-on-aws
Mar 2018 - Aug 2018
Guidance for QnABot on AWS is a multi-channel, multi-language conversational interface (chatbot) that responds to your customer's questions, answers, and feedback. The solution allows you to deploy a fully functional chatbot across multiple channels including chat, voice, SMS and Amazon Alexa.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:1 release, 114 commits, 35 pushes in 4 months
Contributions summary:Arun primarily contributed to the infrastructure and back-end aspects of the QnABot project. Their commits include defining and configuring Elasticsearch-related resources, such as creating Firehose delivery streams for metrics and feedback. They also made changes to example Python files, demonstrating involvement in the server-side logic and data processing aspects of the bot. Their work suggests a focus on ensuring the bot's core functionality and data pipelines are set up and running effectively.
awschatbotsmsmachine-learningartificial-intelligence
aws/aws-cdk
Jul 2021 - Nov 2022
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
Role in this project:Back-end Developer
Back-end DeveloperContributions:40 reviews, 6 commits, 11 PRs in 1 year 4 months
Contributions summary:Arun primarily contributed to the `aws/aws-cdk` repository by implementing features related to AWS services and infrastructure-as-code. Their work involved enhancing the autoscaling capabilities by adding termination events, and enabling direct addition of parameters to Redshift parameter groups, or through a cluster. Furthermore, the user was involved in fixing issues related to the length validation of custom resource types and the integration tests. These changes demonstrate a focus on improving the functionality and usability of the CDK framework for managing AWS resources.
awscloud-development-kitcloud-infrastructureinfrastructure-as-codetypescript
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