Nauval Atmaja
Software Development Manager at Advotics
Special capital Region of Jakarta, Indonesia
Summary
👤
Senior🎓
Top SchoolNauval Atmaja is a software development manager with 12 years of experience designing and delivering scalable, testable backend systems and developer platforms from Jakarta. He combines hands-on engineering—contributing to open-source tooling like an enhanced Elasticsearch query builder—with leadership that drives measurable operational improvements, such as reducing DB CPU usage and cutting developer build times. At Advotics he introduced Clean Architecture and company-wide observability (ELK/APM), halving debugging time and improving code testability. A mentor and coach, he has helped multiple engineers advance into leadership while embedding practices like TDD and unit testing. With academic grounding from Université de Lorraine and St. Andrews, he blends formal CS training with practical DevOps and architecture experience to build reliable, cost-efficient software.
12 years of coding experience
8 years of employment as a software developer
Master's degree, Informatique, Master's degree, Informatique at Université de LorraineBachelor's degree, Information System, Bachelor's degree, Information System at Institut Teknologi Sepuluh NovemberMaster's degree, Computer Science, Master's degree, Computer Science at University of St. Andrews
English, Indonesian
Github Skills (11)
elasticsearch10
elasticsearchquery10
javascript10
aws-elasticsearch10
builders10
builder-io10
builder-pattern10
elasticsearch-api10
amazon-elasticsearch10
json9
nodejs8
Programming languages (7)
Github contributions (5)
danpaz/bodybuilder
Mar 2016 - Apr 2016
An elasticsearch query body builder :muscle:
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:24 commits, 6 PRs, 7 comments in 1 month
Contributions summary:Nauval primarily focused on enhancing the `bodybuilder` library, specifically by adding support for Elasticsearch 2.x DSL generation. They implemented new functionalities, like `build('v2')`, to accommodate different Elasticsearch versions. The user fixed the query builder for 2.x, ensuring correct behavior when filters and queries were combined. Additionally, they added features, such as the ability to specify the type for a multi-match query and the query string, incorporating improvements like accepting a fields parameter.
querymusclejavascriptquerydslbody
npatmaja/go-dev-env
Jan 2017 - Dec 2018
Docker image for Golang development environment
Contributions:24 commits, 22 PRs, 20 pushes in 2 years
golangdocker-imagegolang-developmentdockerdevelopment-environment
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