Gaurav Nagar
Co-Founder And Senior Director Of Engineering at Acceldata
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolGaurav Nagar is a seasoned engineering leader and co-founder with a decade of experience architecting large-scale distributed systems, AI-native data platforms, and enterprise-grade, secure infrastructure. As Senior Director of Engineering at Acceldata he led the evolution of an observability platform into an AI-native system now monitoring over 1.5 million data assets and trillions of rows in production, blending anomaly detection, LLM reasoning, contextual memory, and agentic planning. He combines hands-on distributed systems expertise and reliability engineering with a track record in cloud-native architecture and scalable AI deployment. An early contributor to Hadoop operations as an Apache Ambari committer at Hortonworks, he has deep operational instincts for data migrations and production fixes that keep mission-critical pipelines running. Based in Bengaluru and trained at IIT Roorkee, he’s passionate about self-governing data infrastructure that turns reactive monitoring into autonomous decision systems.
10 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Roorkee
Github Skills (8)
javas10
hive10
java10
hadoop9
data-migration9
big-data8
emberjs6
javascript6
Programming languages (1)
Github contributions (5)
apache/ambari
Jul 2016 - Aug 2017
Apache Ambari simplifies provisioning, managing, and monitoring of Apache Hadoop clusters.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:251 commits, 8 comments in 1 year 1 month
Contributions summary:Gaurav primarily contributed to bug fixes within the `hive-next` and `hive` view directories, addressing issues related to the Hive View's history button and the functionality of local and custom views with swebhdfs and Namenode HA enabled. They also worked on a data migration issue related to migrating data from Hive 1.0 to Hive2 and resolved issues with Pig view such as Pig script creation failures and ensuring the proper use of database name in the generated hql script. These contributions point to a focus on addressing operational issues and data migration.
provisioningpythonclustersjavascriptapache
rconline/LogAI
Jul 2016 - Oct 2016
Contributions:10 pushes in 2 months
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