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Shubham Sharma

PROFILE

Shubham Sharma

Shubham contributed to multiple acceldata-io repositories, focusing on backend development, cloud integration, and DevOps automation. In acceldata-io/hive, he engineered features such as per-session S3 credential management and real-time Hive query event streaming, leveraging Java, AWS S3, and NATS messaging to enhance security and observability. He improved Spark3–Hive compatibility in acceldata-io/spark3 by upgrading dependencies and optimizing data transport with Apache Thrift. Shubham also modernized CI/CD pipelines across Hive, Impala, and NiFi, using GitHub Actions and Maven to streamline builds and enforce code quality. His work demonstrated depth in database management, schema design, and cross-repo coordination.

Overall Statistics

Feature vs Bugs

76%Features

Repository Contributions

19Total
Bugs
4
Commits
19
Features
13
Lines of code
28,998,650
Activity Months8

Work History

February 2026

1 Commits

Feb 1, 2026

February 2026: Delivered a reliability improvement for Oracle SQL scripts in ranger by correcting END statement syntax and properly quoting the resources keyword, reducing the risk of failed database operations and improving deployment stability.

January 2026

5 Commits • 2 Features

Jan 1, 2026

January 2026 monthly summary for performance reviews focusing on business value and technical impact across the acceldata-io/ranger and acceldata-io/hive repositories. The work this month delivered stability, governance enablement, and cloud-access reliability that directly support reliability, security, and data governance initiatives.

December 2025

1 Commits • 1 Features

Dec 1, 2025

December 2025: Implemented per-session S3 credential management in Warehouse for Hive, delivering enhanced security and dynamic credential handling during Hive sessions. The work introduces new configuration options for S3 access keys and credentials, including fs.s3a.security.credential.provider.path, and is linked to OCR-2317 and HIVE-28272. Result: improved security posture and safer, more flexible warehouse access.

August 2025

6 Commits • 6 Features

Aug 1, 2025

2025-08 monthly summary highlighting cross-repo CI/CD modernization and build process improvements across Hive, Impala, NiFi, Spark3, Ranger, and Hadoop. Focused on delivering scalable pipelines, code quality gates, and standardized development workflows to accelerate release cycles and improve system reliability.

April 2024

1 Commits • 1 Features

Apr 1, 2024

Monthly summary for 2024-04: acceldata-io/spark3 delivered Hive compatibility and data transport enhancements to strengthen Spark3–Hive integration and data reliability. Key changes included upgrading libthrift to 0.14.1 to ensure compatibility with Hive 3.1.4, introducing a new TFramedTransport class to improve data transport, and enhancing SASL helper error messaging for clearer diagnostics. These changes are captured in commit dab7a4f1ea8766c3d7572d30eeba17e63bce25a9 (ODP-780). No additional major bugs fixed in this repository for April 2024. Overall impact: smoother Hive-based analytics pipelines, reduced integration friction, and faster troubleshooting for operators. Technologies/skills demonstrated: dependency management (libthrift 0.14.1), transport-layer improvement (TFramedTransport), enhanced authentication error handling (SASL), and Hive 3.1.4 compatibility within Spark3.

October 2023

1 Commits • 1 Features

Oct 1, 2023

2023-10 Monthly Summary: Delivered a targeted refactor of the NATS client connection handling in acceldata-io/hive to improve session management and resource handling. The work tightened initialization/closure flows and strengthened error handling during NATS operations, underpinning more stable real-time messaging and reducing risk of resource leaks.

June 2023

2 Commits • 1 Features

Jun 1, 2023

June 2023 focused on stabilizing metrics initialization and delivering a real-time observability feature for Hive workloads in acceldata-io/hive. Key improvements reduced startup failures and laid the groundwork for real-time event streaming from Hive queries.

April 2023

2 Commits • 1 Features

Apr 1, 2023

April 2023 monthly summary for acceldata-io/hive focused on improving observability and Oracle 11g readiness. Key changes delivered include enhanced LLAP Daemon logging configurability and a Metastore schema upgrade to support Oracle 11g, ensuring reliability and performance for enterprise deployments.

Activity

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Quality Metrics

Correctness85.2%
Maintainability83.2%
Architecture84.2%
Performance83.2%
AI Usage27.4%

Skills & Technologies

Programming Languages

CMakeCSSHTMLJavaJavaScriptMarkdownPythonSQLScalaShell

Technical Skills

AWS S3Apache HiveApache SparkApache ThriftBuild AutomationCMakeCloud ComputingConfiguration ManagementContainerizationContinuous DeploymentContinuous IntegrationData SecurityDatabase ManagementDevOpsGit

Repositories Contributed To

6 repos

Overview of all repositories you've contributed to across your timeline

acceldata-io/hive

Apr 2023 Jan 2026
6 Months active

Languages Used

SQLShellJavaXMLYAML

Technical Skills

Configuration ManagementDevOpsSQL scriptingScriptingdatabase managementschema design

acceldata-io/ranger

Aug 2025 Feb 2026
3 Months active

Languages Used

JavaJavaScriptSQL

Technical Skills

Cloud ComputingData SecurityJavaLoggingDatabase ManagementOracle

acceldata-io/spark3

Apr 2024 Aug 2025
2 Months active

Languages Used

JavaPythonScalaYAML

Technical Skills

Apache ThriftJavabackend developmentApache SparkContinuous IntegrationDevOps

acceldata-io/impala

Aug 2025 Aug 2025
1 Month active

Languages Used

CMakeMarkdownShell

Technical Skills

Build AutomationCMakeContainerizationDevOps

acceldata-io/nifi

Aug 2025 Aug 2025
1 Month active

Languages Used

MarkdownYAML

Technical Skills

Continuous DeploymentContinuous IntegrationDevOpsGitGitHub Actions

acceldata-io/hadoop

Aug 2025 Aug 2025
1 Month active

Languages Used

CSSHTMLJavaPythonShell

Technical Skills

GitJavaMavenPythonfull stack development