Zayden Kole

I am a Senior Data Engineer with seven years of experience designing and scaling distributed data platforms and real-time ETL systems using Kafka, Spark, and cloud-native tools. I lead cross-functional efforts to translate business requirements into performant, production-ready data solutions that process millions of records daily.

At Genix I led a five-engineer team to build scalable ETL pipelines and data lakes on AWS and GCP, improving processing speeds by 40% and instituting CI/CD for data workflows to accelerate deployments by 30%. I also implemented automated data quality frameworks with dbt and Great Expectations, reducing errors and validation cycles, and added lineage and audit logging for regulatory reporting.

My work spans batch, micro-batch, and real-time architectures (Debezium/Kafka), optimization of BigQuery and Redshift, and productionizing ML features and inference pipelines. I prioritize observability, schema enforcement, testing, and cost-efficient designs that deliver measurable business impact.