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Amanjeet Singh

PROFILE

Amanjeet Singh

Over five months, contributed to MicrosoftDocs/fabric-docs and microsoft/fabric-samples by delivering five targeted features focused on cloud data integration and developer enablement. Authored and enhanced documentation for OneLake Databricks serverless connections, clarifying Spark configuration limitations and improving onboarding through refined code examples and prerequisite guidance. Developed a Jupyter Notebook in Python to automate synchronization between Snowflake Iceberg tables and Microsoft Fabric Lakehouse, leveraging API integration and metadata extraction. Updated documentation to reflect evolving security features and Direct Lake mode support, reducing ambiguity for enterprise users. Work emphasized technical writing, data engineering, and cloud computing, supporting clearer adoption of Microsoft Fabric technologies.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

6Total
Bugs
0
Commits
6
Features
5
Lines of code
1,247
Activity Months5

Your Network

4890 people

Same Organization

@microsoft.com
4700
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

For 2025-10, delivered a targeted documentation enhancement: OneLake Databricks Connection Documentation Enhancement in the MicrosoftDocs/fabric-docs repository. The update clarifies Spark configuration limitations, streamlines prerequisite steps, and refines code examples to provide a clearer, more actionable setup guide for users. The change leverages Acrolinx guidelines to improve clarity and consistency, supporting faster onboarding and reduced support load. No major bugs were fixed this month; focus was on improving user experience and developer efficiency through higher-quality docs.

September 2025

1 Commits • 1 Features

Sep 1, 2025

In 2025-09, MicrosoftDocs/fabric-docs delivered a focused documentation feature for OneLake Databricks Serverless connections, with no major bugs fixed this month. The OneLake Databricks Serverless Connection Guidance Documentation clarifies Spark configuration limitations in serverless environments and provides updated code examples for authentication and data reading, improving developer onboarding and reliability for serverless workflows.

August 2025

1 Commits • 1 Features

Aug 1, 2025

August 2025 monthly summary for microsoft/fabric-samples: Delivered a Snowflake Iceberg to Fabric Lakehouse Shortcuts Automation notebook that synchronizes Snowflake Iceberg tables with Fabric Lakehouse by creating external shortcuts. Automates discovery of Iceberg tables in Snowflake and creates corresponding shortcuts in Fabric via the Fabric API. Included setup instructions, parameter configuration, and core logic for connecting to Snowflake, extracting metadata, and interacting with the Fabric API to create shortcuts. Commit 93edd575c9b933e45b62d3db43a2eb391a3fcc64.

April 2025

2 Commits • 1 Features

Apr 1, 2025

April 2025 monthly summary for MicrosoftDocs/fabric-docs. Delivered documentation updates and enablement for the SQL Analytics CLS/RLS security preview in OneLake, enabling User's identity mode and required Fabric URL access feature flags. Provided clarifications on CLS behavior with SELECT * on filtered tables and inheritance of OneLake security permissions for existing endpoints. No major bugs fixed this period; focus was on improving security preview visibility and onboarding for developers and data engineers. This work enhances security posture and developer onboarding, enabling faster experimentation with the CLS/RLS preview and reducing ambiguity for customers adopting OneLake SQL analytics security features.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025 – Direct Lake mode documentation update for MicrosoftDocs/fabric-docs; clarified enterprise support via tenant private links and removed outdated language stating Direct Lake mode is not supported. Updated content reflects current capabilities and guidance, improving customer clarity and adoption readiness.

Activity

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Quality Metrics

Correctness95.0%
Maintainability93.4%
Architecture93.4%
Performance90.0%
AI Usage33.4%

Skills & Technologies

Programming Languages

Jupyter NotebookMarkdownPython

Technical Skills

API IntegrationAzureCloud ComputingCloud IntegrationData EngineeringData LakehouseDatabricksDocumentationMicrosoft FabricPythonSnowflakeTechnical Writing

Repositories Contributed To

2 repos

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

MicrosoftDocs/fabric-docs

Feb 2025 Oct 2025
4 Months active

Languages Used

MarkdownPython

Technical Skills

DocumentationTechnical WritingAzureCloud ComputingData EngineeringDatabricks

microsoft/fabric-samples

Aug 2025 Aug 2025
1 Month active

Languages Used

Jupyter NotebookPython

Technical Skills

API IntegrationCloud IntegrationData EngineeringData LakehouseMicrosoft FabricPython