Vyshali Subramanya
@vyshalisubramanya
Data engineer and business analyst delivering Azure ETL and BI impact.
What I'm looking for
I’m a results-oriented Data Engineer and Business Analyst with ~3.5 years of experience, building production ETL and analytics solutions across complex product, operational, and behavioral data. I specialize in designing SQL- and Python-based pipelines with Azure Data Factory and Databricks, turning data into decision-ready insights.
In my current Senior Analyst role at Capgemini, I’ve deployed workflows that reduced manual reporting time by ~60% and improved data availability for product teams. I also create dashboards and run deep-dive analyses (Power BI, BigQuery) that improved feature adoption by 18% and accelerated roadmap decisions through KPI, funnel, and onboarding/usage insights.
Experience
Work history, roles, and key accomplishments
Designed and deployed SQL- and Python-based ETL workflows to integrate product, operational, and behavioral data, reducing manual reporting time by ~60% and improving data availability for product teams. Built Power BI dashboards and performed deep-dive onboarding/usage analyses that contributed to an 18% improvement in feature adoption.
Data & Product Analyst
Creative Thoughts Ltd
Feb 2024 - Jan 2025 (11 months)
Supported two SaaS product lines by streamlining backlog management and performance monitoring, improving sprint delivery rates by 25%. Built A/B-tested onboarding experiments and lead scoring models that increased sales conversion by 30%, alongside event instrumentation and ETL to a centralized analytics warehouse.
Built and optimized SQL pipelines (Informatica, Azure SQL) processing 5,000+ daily records, improving reporting accuracy by 20% and reducing latency by 30%. Partnered with stakeholders to define data requirements for KPIs aligned to risk, compliance, and reporting needs.
Education
Degrees, certifications, and relevant coursework
University of Southampton
Master of Science (MSc), Business Analytics and Finance
2023 - 2024
MSc in Business Analytics and Finance focusing on financial data analysis, forecasting, advanced analytics, and Python and machine learning coursework.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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