I am a data engineer with six years of experience building real-time operational systems, cloud data pipelines, enterprise reporting, and platform infrastructure.
I specialize in streaming architectures, lakehouse design, ETL/ELT transformation, and governed data platforms. My recent work has focused on Kafka-based event pipelines, schema governance, observability, and infrastructure automation across cloud environments.
I have hands-on experience with Databricks, Snowflake, Iceberg, dbt, Dagster, Terraform, Docker, Grafana, and Prometheus, and I enjoy turning complex business and operational needs into reliable data products.
My background also includes business systems analysis, application support, dashboard development, system testing, validation, and user training. I am comfortable working across technical and business teams to translate requirements into scalable solutions.
I recently completed an M.Sc. in Data Analytics and continue to strengthen my expertise in cloud data engineering, security, and platform optimization. I value clean architecture, measurable reliability, and practical delivery.
I am open to opportunities where I can contribute to modern data platforms, improve data quality and observability, and help teams make faster, better decisions with trusted data.
