Akash Dwivedi
Gurugram, Haryana, India
Summary
🤩
Rockstar🎓
Top SchoolAkash Dwivedi is a seasoned SRE and DevOps-oriented software engineer with 9+ years delivering production support, incident management, and CI/CD automation across cloud platforms. He has driven DevOps migrations, Azure DevOps and CI/CD implementations, and hands-on infrastructure work on AWS and Azure while integrating enterprise tools like Okta, CyberArk, AppDynamics, Datadog and Splunk. At Moody's and Accenture he combined user-facing requirement gathering with technical delivery—managing releases, UAT, and database operations across Sybase, SQL Server and PostgreSQL. He contributes to open-source at scale, notably enhancing Apache Druid’s Hadoop indexing and versioning behavior, showing a knack for backend systems and data-oriented tooling. Based in Gurugram, he pairs practical troubleshooting and minor code fixes in .NET/C# with broader platform reliability work, bringing both operational discipline and code-level ownership to production systems.
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 UniversityHigh School, PCM, 1, High School, PCM, 1 at Govt. Jubilee Inter Collage,Gorakhpur, U.P
Github Skills (7)
javas10
hadoop10
apache-druid10
indexing10
java10
code-review9
hdfs9
Programming languages (2)
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
Back-end DeveloperContributions: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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