Akash Dwivedi

Gurugram, Haryana, India

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Summary

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Rockstar

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Top School

Akash Dwivedi is a cloud-focused software engineer with nine years of experience delivering secure, production-grade infrastructure and DevOps solutions from Gurugram. He pairs hands-on expertise in AWS and Azure with identity and secrets management (CyberArk, Okta SAML, SSO/MFA), CI/CD pipeline implementation, load balancing and routine server patching to keep enterprise systems resilient. At Moody’s he led incident resolution, release management and UAT coordination while supporting .NET applications and multiple databases (Sybase, SQL Server, PostgreSQL) using monitoring stacks like AppDynamics, Datadog and Splunk. He also contributes to open-source analytics infrastructure — notably enhancing Apache Druid’s Hadoop indexing versioning and fixing HdfsDataSegmentPusher bugs — reflecting a backend systems mindset and attention to maintainability. A Bachelor’s in Computer Science, operational experience with broadcast portals and event cost WBS, and a drive to blend automation with security define his pragmatic, cross-functional approach.

9 years of coding experience

9 years of employment as a software developer

Bachelor’s Degree, Computer Science & Engg., 1, Bachelor’s Degree, Computer Science & Engg., 1 at APJ Abdul Kalam Technological University

High School, PCM, 1, High School, PCM, 1 at Govt. Jubilee Inter Collage,Gorakhpur, U.P

Github Skills (7)

javas10

apache-druid10

hadoop10

indexing10

java10

code-review9

hdfs9

Programming languages (2)

JavaGo

Github contributions (5)

apache/druid

Oct 2016 - Jan 2018

Apache Druid: a high performance real-time analytics database.

Role in this project:

Back-end Developer

Contributions:28 commits, 76 PRs, 226 comments in 1 year 3 months

Contributions summary:Akash primarily focused on enhancing the Apache Druid codebase by implementing and refining core functionalities, including version management within the Hadoop indexing process. They introduced a configuration option for explicit versioning and ensured its proper application. Furthermore, the user contributed to the migration of utility libraries and addressed code review feedback, indicating a commitment to code quality and project maintainability. The user also fixed a bug in HdfsDataSegmentPusher to correctly add the load spec in the descriptor file.

real-timebig-datadruiddatabasehadoop

akashdw/java-util

Aug 2016 - Dec 2017

Contributions:2 PRs, 23 pushes, 3 branches in 1 year 4 months

javaprogramming-languagejvmlanguages

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