I am a results-driven Data Engineer with expertise in building scalable, high-performance data pipelines leveraging cloud platforms such as AWS, GCP, and Azure. Skilled in real-time streaming architectures using Kafka, Spark, and Airflow, I am passionate about automating ETL workflows and ensuring data governance, security, and compliance. With significant experience optimizing query performance and managing containerized environments, I deliver actionable insights that drive business growth through innovative, data-driven solutions.
Throughout my career, I have engineered and deployed real-time event-driven pipelines, modernized legacy batch ETL pipelines, and integrated hybrid cloud environments. I have collaborated closely with ML engineers, risk analytics, and BI teams to enable fraud detection, credit risk scoring, and operational reporting. My commitment to data quality, lineage, and audit readiness underpins enterprise-grade data solutions that meet strict regulatory standards like GDPR and SOX.
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