At DIAGEO, I own the data engineering workstream for the RGM project, preparing and transforming data in Databricks and integrating it with the McKinsey RGM tool and Power BI. I’m also developing reusable, parameter-driven workflows to automate data refreshes.
As a Specialist Data Engineer, I used Palantir Foundry to operationalize more than 10 enterprise data assets and built Spark pipelines on Azure Databricks for daily SAP data processing. I also developed reusable Python transformations and onboarded large consumer datasets.
During my secondment as a Senior Specialist Data Engineer, I led development of the Heartbeat data platform project as its sole data engineer. I built ingestion pipelines for pricing and shipment datasets and maintained production ETL pipelines.
Earlier, as a Data Engineering Analyst, I developed Python, ADF, and Spark SQL pipelines and worked on web analytics, sales data, and HR KPIs. At UNIVENTIS MEDICARE LIMITED, I analysed sales data and created dashboards and reports.
