Data Analyst at Unilever

Built a modern Azure-based retail data platform to automate pipelines, powered churn prediction, and accelerate reporting cycles. Unified POS, loyalty, and e-commerce streams into a single platform for real-time visibility and faster decision making. Implemented Delta Lake with partitioning and data lineage. Created interactive Power BI dashboards to monitor churn risk and sales performance, enabling targeted actions.

Specialist Programmer / Data Engineer at Infosys

Led the Azure Data Lake migration from on-premises to the cloud, designed a structured data warehouse architecture, implemented partition-overwrite logic to avoid duplicates, and set up automated alerts and governance. Optimized ETL pipelines with parallel processing, aligned data models with BI needs, and accelerated reporting refresh cycles, achieving significant improvements in reliability and performance.

Data Engineer at Unilever

Built a modern Azure-based retail data platform that automates pipelines, powers churn prediction, and accelerates reporting cycles. Unified data platform integrating POS, loyalty, and e-commerce streams to enable rapid identification of shoppers who churn and take action.

Data Engineer at Procter & Gamble (P&G)

Migrated on-prem data to Azure Delta Lake, designed a structured Lakehouse to provide trusted data for reporting and AI models; implemented incremental pipelines, governance, BI dashboards, and AB testing to improve retention and ROI.

Data Engineer at Unilever (Remote)

Built a modern Azure-based retail data platform that automated pipelines, powered churn prediction, and accelerated reporting cycles. Consolidated data from POS, loyalty, and e-commerce into a single platform, enabling retail teams to quickly identify shoppers who might churn and take action. Orchestrated complex data workflows in Airflow with DAG dependencies and SLA monitoring. Created DBT models to transform data with versioning and auditability. Designed interactive Power BI dashboards to visualize churn risk, sales performance, and promotional effectiveness, reducing ad-hoc reporting requests by 40%. Developed ML pipelines to predict churn likelihood and identify high-risk segments, supporting targeted retention strategies. Implemented Delta Lake with Type 2 slowly changing dimensions and CDC logic for incremental updates, accelerating dashboard refresh cycles by 60%.