Open to opportunities

Shivya Garg

@shivyagarg

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Data analyst and data engineer specializing in Azure-powered supply chain analytics.

India

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What I'm looking for

I seek roles building scalable data pipelines, analytics platforms, and GenAI solutions in collaborative teams focused on operational impact and continuous improvement.

I am a data analyst and engineer who builds scalable Azure Databricks and Azure Data Factory pipelines, enterprise dashboards, and GenAI solutions to improve supply chain and transportation visibility. At Philips, I consolidated reporting, automated ETL, and delivered operational insights across global logistics programs, reducing reporting complexity and infrastructure costs.

I prototype conversational and RAG-based AI tooling to empower business users, and have implemented automated finance workflows, Power BI and QlikSense dashboards, and GenAI assistants using LangChain, ChromaDB, and Microsoft Copilot Studio. I focus on practical, maintainable systems that drive measurable operational improvements.

Experience

Work history, roles, and key accomplishments

Current

Specialist - Business Analysis

Current

Philips

Aug 2024 - Present (1 year 11 months)

Improved global transportation analytics visibility across 35+ logistics projects by designing scalable SQL data models and automating end-to-end pipelines in Azure Databricks and Azure Data Factory, consolidating 35+ reports into 18 dashboards and cutting reporting infrastructure costs by 50%.

Databricks Azure Data Factory SQL Data Modeling Data Pipelines GenAI RAG Dashboarding

Data Engineer Intern

Philips

Jan 2024 - Jul 2024 (6 months)

Automated finance and internal pay-control workflows using Azure Databricks and Python, saving ~4–5 operational hours per cycle and built Power BI and QlikSense dashboards with automated alerts to improve financial KPI visibility.

Databricks Python Power BI Qlik Nprinting SQL ETL Automation Dashboarding