I am a driven and detail-focused Data Engineer with over three years of experience delivering scalable, high-performance data solutions in cloud and big data ecosystems. I specialize in designing end-to-end data architectures, building distributed data pipelines, and optimizing ETL workflows to enable real-time analytics and business intelligence at scale. My expertise spans Hadoop, Spark, PySpark, SQL, and Python, combined with hands-on proficiency in AWS and Azure services such as Redshift, Lambda, Kinesis, Azure Data Factory, and Databricks.
I bring a deep understanding of data systems engineering, paired with a strong sense of ownership, precision, and commitment to engineering excellence. Whether building new platforms or modernizing legacy infrastructure, I focus on delivering efficient, maintainable solutions aligned with long-term business strategy.
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