Data as a Service (DaaS) Project

Role: Engineering Director & Delivery Executive

Overview: Spearheaded a data platform processing 10 million transactions daily, reducing data latency from 15 days to under 48 hours, ensuring 99.8% uptime for real-time decision-making.

Technologies: AWS, Apache Spark, PostgreSQL, Python, Java

Outcome: Enhanced real-time insights and decision-making, improving operational efficiency.

Role: Engineering Director

Overview: Built a high-throughput data pipeline enabling real-time visibility into sales activity, boosting call efficiency by 300%.

Technologies: Apache Kafka, Spark Streaming, AWS, Python

Outcome: 300% improvement in sales call efficiency for American Express.

Role: Delivery Executive

Overview: Architected a next-generation analytics platform capable of handling petabyte-scale data sets with sub-second query response times.

Technologies: AWS Redshift, dbt, Apache Spark, PostgreSQL

Outcome: Enabled business intelligence at scale, reducing reporting lag from days to minutes.