Data Engineer specializing in large-scale streaming pipelines, cloud data platforms, and modern analytics infrastructure.

I build systems that move, transform, and make sense of data at scale — from real-time event ingestion to analytics-ready data models.

📍 Tampa, FL  |  🔗 LinkedIn  |  💼 Open to Data Engineering roles

Cloud & Platforms

Streaming & Pipelines

Transformation & Modeling

DevOps & Infra

Azure Event Hubs · Databricks · Delta Live Tables · Medallion Architecture · Star Schema

Multi-source streaming platform on Azure that ingests live ride events (WebApp) and historical activity (GitHub) through independent Event Hubs, unifies them via Spark Structured Streaming on Databricks using declarative Delta Live Tables pipelines, and delivers a Gold-layer Star Schema for analytics.

Key decisions: Dual Event Hubs for source isolation → DLT over raw Spark for declarative, self-healing pipelines → Medallion over direct ingestion to preserve full event history and enable safe reprocessing.

Kafka · Debezium · Airflow · dbt · Python · Docker

CDC-based streaming pipeline for banking transaction data. Uses Debezium to capture row-level change events from a source database, streams them through Kafka, orchestrates ingestion via Airflow, and applies dbt transformations for analytics-ready output. Fully containerized with Docker Compose.

Building reliable data infrastructure, one pipeline at a time.