Jitendra Pandey is a Technical Manager with 15 years of software engineering experience, currently leading teams at HCLTech Germany and delivering cloud-native, Java-based enterprise solutions for a major German bank. He is a hands-on Java/J2EE expert fluent in Spring Boot, microservices, Kafka, Docker/Kubernetes and Azure DevOps, with strong experience in CI/CD and observability tools. His background spans banking, FX, healthcare and CRM domains, and he routinely mentors engineers while driving architectural decisions. An active open-source contributor, he has made substantive back-end contributions to high-profile Apache projects such as Hive, Hadoop, Ozone and Ratis—work that includes vectorized ORC readers, filesystem token APIs and CI/CD automation. Pragmatic and curious, he combines deep systems-level problem solving with a taste for operational resilience and incremental improvement. Located in Frankfurt, he balances enterprise delivery with continuous learning and cross-functional collaboration.
15 years of coding experience
11 years of employment as a software developer
Master of Computer Applications - MCA, Computer Software Engineering, Master of Computer Applications - MCA, Computer Software Engineering at Shyam Lal College (Eve.)
BCA, Computer Software Engineering, BCA, Computer Software Engineering at St. Xavier School, Patna
Contributions:169 commits, 11 comments in 8 years 1 month
Contributions summary:Jitendra contributed to Apache Hadoop, adding features and making improvements to core functionality. Their work involved adding support for statistics in FileContext, guarding against potential NullPointerExceptions in UserGroupInformation, and adding a DaemonFactory to common. Further, they implemented APIs for delegation tokens in AbstractFileSystem, and contributed code for the removal of protocol version checks in Hadoop RPC. These contributions showcase the user's proficiency in file system implementation and related areas of Hadoop.
Apache Ambari simplifies provisioning, managing, and monitoring of Apache Hadoop clusters.
Role in this project:
Backend Developer
Contributions:65 commits in 7 months
Contributions summary:Jitendra primarily focused on refactoring and improving the performance and functionality of the PHP-based PuppetInvoker within the Apache Ambari framework. This involved modifying the puppet kick loop, specifically addressing retry and timeout parameters, and making related changes to support the orchestration of puppet runs. They also made changes in relation to HDFS utilization in the UI, likely addressing an issue where the chart showed incorrect status. The contributions suggest a focus on improving the backend infrastructure and functionality.
ambariapache-hadoopmonitoringprovisioningpython
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