At Nagarro, I architected and drove the migration of a 1,700+ store retail chain’s Hadoop/Hive workloads to GCP. The work cut the on-premises infrastructure footprint by roughly 30% and reduced average query runtime by an estimated 35%.
At Merkle, I delivered data pipelines for Home Depot’s A/B testing and UX optimization, processing an estimated 2–4 million user events per day. I also built Snowflake pipelines for Kmart, reducing compute costs by an estimated 20–25% through warehouse right-sizing.
At Think Hospitality, I built revenue-optimization data pipelines for FPG and contributed to an estimated 10–15% uplift in ancillary and upsell revenue. I also migrated historical data from MS SQL to Redshift and re-platformed the data stack after a company acquisition.
For Chartboost, I designed real-time ingestion pipelines handling an estimated 10–20 million ad events per day and wrote PySpark jobs that cut processing time by roughly 25%. I’m Google Professional Data Engineer certified and have worked across cloud data platforms, orchestration, and large-scale data processing.
