I'm a New York-based Data Engineer with 9+ years of experience building scalable data platforms and backend systems. My journey began with C# development, evolving into data engineering where I now specialize in designing robust ETL/ELT pipelines, real-time data processing, and cloud data architectures using Python, SQL, and tools like Spark, Kafka, Airflow, and dbt.
I’ve worked across AWS and Azure environments, leveraging services like Glue, Redshift, Data Factory, and Synapse to deliver high-performance solutions. My strength lies in bridging engineering and business — ensuring data is accessible, reliable, and actionable for analytics and decision-making.
I’m passionate about solving complex data challenges, modernizing infrastructure, and enabling data-driven cultures. I thrive in collaborative environments and am always eager to bring best practices and innovation to the table.
Let’s connect and discuss how I can help drive value through scalable and intelligent data engineering.