Data Engineer building reliable, scalable data systems.
I design and build data pipelines, infrastructure, and platforms that turn raw data into reliable, accessible resources. I care about clean architecture, automation, and making data work for the people who need it.
Led the design and implementation of real-time data pipelines processing millions of events per day. Improved data freshness from hours to minutes across critical business dashboards.
Built and maintained ETL pipelines, data models, and orchestration workflows. Migrated legacy batch processes to a modern streaming architecture on cloud infrastructure.
Developed data ingestion scripts, automated reporting workflows, and maintained data warehouse schemas. Collaborated with analysts to define data models and quality checks.
End-to-end streaming pipeline ingesting events from Kafka, transforming with Spark Structured Streaming, and serving to a real-time dashboard via a low-latency data store.
View projectA reusable framework for defining, running, and alerting on data quality checks across multiple data sources. Integrated with Airflow for scheduled validation and Slack for notifications.
View projectMigrated an on-premises data warehouse to a cloud-native architecture using Terraform for infrastructure, dbt for transformations, and Airflow for orchestration.
Confidential