Varshini Ravishankar profile photo 1 on Tal

Varshini Ravishankar

Senior Data Engineer | Data Platforms for AI & Analytics | Bridging Engineering and Business Insight

Bengaluru

5+ years of work experience

Chubb
Jul 20242 yrs 3 mosPresent

Bengaluru

• Led engineering ownership of a new enterprise data integration pipeline supporting analytics and AI initiatives. • Identified structural gaps in vendor data quality and pipeline design before production rollout. • Partnered with business stakeholders and data vendors to clarify data ownership and resolve upstream quality issues. • Built a reusable Python Data Toolkit to standardize EDA, data quality checks, and schema validation across projects. • Applied Databricks Lakehouse practices to improve pipeline scalability and governance. • Explored downstream analytics use cases through Qlik Sense dashboards to better align engineering outputs with business insights.
Volvo Group
Feb 20231 yr 6 mosJul 2024

Bengaluru, Karnataka, India

• Working on the development and enhancement of a critical business product. • Using Azure Synapse Analytics, Analysis Services, Power BI, Azure SQL, SSAS cube, and on-premise SQL Server. • Continuously collaborating with cross-functional teams to understand the business goals and priorities. • Ensuring high-quality data availability, as well as the development of semantic models and report delivery are the key responsibilities.
Accenture AI
May 202210 mosFeb 2023

Bengaluru, Karnataka, India

• Worked on several products for multinational organizations' supply chain operations with the Microsoft Azure tech stack. • Facilitated asset reusability and standardization. • Collaborated across cross-functional teams and coordinated to achieve the intended results. • Oversaw the creation, maintenance, and integration of reusable assets and frameworks into the product. Adapted to evolving requirements and met deadlines.
Accenture AI
20221 yr2023

Supply Chain Analytics Platform | Databricks
Accenture AI
Oct 20217 mosApr 2022

• Worked on several products for multinational organizations' supply chain operations with the Microsoft Azure tech stack. • Developed data pipelines for orchestration and automation of the ETL processes. • Led asset reusability and standardization efforts. • Took on ad-hoc requirements and delivered with accuracy.
MAC MACHINE TOOLS AND AUTOMATION
Jul 20182 mosAug 2018

Bengaluru, Karnataka, India

• Worked with the visualizations and analytics tool Microsoft Power BI. • Created dashboards for the sales and inventory system in the manufacturing and automation domain. • Effectively communicated with both business and technical stakeholders. • Connected Microsoft Power BI Desktop to various data sources. Created Visualizations to support Data-Driven decision-making using DAX queries to calculate the KPIs and represent them on dashboards.
GitHub
@miss-shankar

Varshini’s AI Stack

claude code
claude code
codex
codex
notebooklm
notebooklm
perplexity
perplexity
claudecode
claudecode
ChatGPT
ChatGPT

Education

Visvesvaraya Technological University

Bachelor of Engineering, Computer Engineering

Visvesvaraya Technological University

20154 yrs2019
JAIN College

JAIN College

20132 yrs2015

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Varshini Ravishankar on Tal

Headline

Senior Data Engineer | Data Platforms for AI & Analytics | Bridging Engineering and Business Insight

Location

Bengaluru

AI stack

claude code

codex

notebooklm

perplexity

claudecode

ChatGPT

Work experience

Senior Data Engineer at Chubb, Jul 2024 - Present · 2 yrs 3 mos, Bengaluru, • Led engineering ownership of a new enterprise data integration pipeline supporting analytics and AI initiatives. • Identified structural gaps in vendor data quality and pipeline design before production rollout. • Partnered with business stakeholders and data vendors to clarify data ownership and resolve upstream quality issues. • Built a reusable Python Data Toolkit to standardize EDA, data quality checks, and schema validation across projects. • Applied Databricks Lakehouse practices to improve pipeline scalability and governance. • Explored downstream analytics use cases through Qlik Sense dashboards to better align engineering outputs with business insights.

Professional Data Engineer at Volvo Group, Feb 2023 - Jul 2024 · 1 yr 6 mos, Bengaluru, Karnataka, India, • Working on the development and enhancement of a critical business product. • Using Azure Synapse Analytics, Analysis Services, Power BI, Azure SQL, SSAS cube, and on-premise SQL Server. • Continuously collaborating with cross-functional teams to understand the business goals and priorities. • Ensuring high-quality data availability, as well as the development of semantic models and report delivery are the key responsibilities.

Data Engineering Senior Analyst at Accenture AI, May 2022 - Feb 2023 · 10 mos, Bengaluru, Karnataka, India, • Worked on several products for multinational organizations' supply chain operations with the Microsoft Azure tech stack. • Facilitated asset reusability and standardization. • Collaborated across cross-functional teams and coordinated to achieve the intended results. • Oversaw the creation, maintenance, and integration of reusable assets and frameworks into the product. Adapted to evolving requirements and met deadlines.

Senior Engineering Analyst at Accenture AI, 2022 - 2023 · 1 yr, Supply Chain Analytics Platform | Databricks

Data Engineer II (Formerly BRIDGEi2i Analytics Solutions) at Accenture AI, Oct 2021 - Apr 2022 · 7 mos, • Worked on several products for multinational organizations' supply chain operations with the Microsoft Azure tech stack. • Developed data pipelines for orchestration and automation of the ETL processes. • Led asset reusability and standardization efforts. • Took on ad-hoc requirements and delivered with accuracy.

Business Intelligence Intern at MAC MACHINE TOOLS AND AUTOMATION, Jul 2018 - Aug 2018 · 2 mos, Bengaluru, Karnataka, India, • Worked with the visualizations and analytics tool Microsoft Power BI. • Created dashboards for the sales and inventory system in the manufacturing and automation domain. • Effectively communicated with both business and technical stakeholders. • Connected Microsoft Power BI Desktop to various data sources. Created Visualizations to support Data-Driven decision-making using DAX queries to calculate the KPIs and represent them on dashboards.

Education

Bachelor of Engineering, Computer Engineering, Visvesvaraya Technological University

JAIN College

Public links

github: https://github.com/miss-shankar