Code Catalyst

I am a Lead Data Engineer and Data Architect with over 10 years of experience in designing scalable, cloud-native data platforms and analytics solutions across AWS, GCP, and Azure. My expertise lies in building robust ETL/ELT pipelines using technologies such as Spark, Airflow, and dbt, and implementing Lakehouse architecture with Delta Lake and Databricks. I have a proven track record of modernizing legacy systems and driving CI/CD adoption across cross-functional data teams, ensuring data governance and compliance with standards like HIPAA and GDPR.

In my most recent role at Udacity, I architected a scalable Lakehouse platform on AWS, which reduced reporting latency by 60% and optimized ETL performance, achieving a 45% boost in throughput. I have successfully built real-time streaming pipelines with Apache Kafka and Flink, enabling sub-second fraud detection. My leadership experience includes mentoring a 7-member data engineering team and implementing enterprise-grade data governance controls, ensuring full SOC 2 compliance. I am passionate about aligning engineering strategies with business KPIs and driving data initiatives that support petabyte-scale operations.