Analytics Engineer
Build reusable reporting datasets, semantic layers, SQL models, and stakeholder-facing data products.
SQL-driven reporting, analytics engineering, Azure data workflows, and product-minded dashboards.
I’m a Chennai-based analytics-focused data professional with 6 years of experience across commercial analytics, machine learning, data engineering, and reporting automation. I’m interested in roles where I can build useful data products, improve reporting systems, and translate business problems into reliable analytical workflows.
I’m looking for opportunities that combine analytics engineering, reporting automation, data transformation, and product-style thinking.
Build reusable reporting datasets, semantic layers, SQL models, and stakeholder-facing data products.
Own ingestion, transformation, and data workflow reliability for business-facing analytics.
Work on data tools that directly help people make decisions.
weekly report recipients in current oncology reporting workflows
documents indexed and made searchable in an Azure AI Search workflow
transactions handled in PySpark pipeline optimization work at TCS
across analytics, ML, reporting, data engineering, and stakeholder delivery
Support recurring commercial reporting by executing business-rule-driven SQL workflows across SD demand, calls, and IQVIA claims datasets.
Built ingestion and enterprise-search workflows for a large US restaurant chain’s internal portal with ~20K heterogeneous documents.
Built forecasting and analytics solutions using Python, SQL, and PySpark for retail use cases.
A flagship project I’m shaping to track spending, cash flow, debt payoff, subscriptions, and loan scenarios with an analytics-engineering backbone.
Dashboard for rating trends, openings, move behavior, capture patterns, and opponent analysis using the Chess.com API and Plotly.
Interactive labour-force analytics dashboard with forecasting components.