At CDK Global, I lead data engineering initiatives from architecture through delivery, building ETL/ELT platforms on Snowflake and Databricks. My team delivers high-throughput, low-latency pipelines across multiple concurrent workstreams.
I built Kafka and Databricks burst-streaming ingestion that cut costs by 35%, and pioneered a near-real-time PySpark pipeline that reduced landing time from eight hours to five minutes. I also reduced Snowflake query costs by 20% through profiling, partitioning, indexing, and credit-usage monitoring.
Previously, I designed batch and streaming data architectures at Synerzip and built microservices, APIs, and AWS Lambda processing solutions at Optra Systems. I work across Snowflake, Databricks, AWS, Apache Spark, Kafka, Python, SQL, and CI/CD to create reliable data products.
