About Me
As a Data Engineer with a strong background in cloud platforms and ETL processes, I specialize in building and optimizing scalable data pipelines, leveraging tools such as Apache Spark, Airflow, and DBT. My experience includes migrating legacy systems to modern data warehouses like Snowflake, enhancing data processing efficiency, and ensuring data quality through automated workflows.
I have successfully developed and deployed data ingestion pipelines using technologies like AWS Glue and Apache Flink, contributing to projects that span healthcare, meditation applications, and other industries. With a focus on improving performance, my work has led to significant reductions in processing times and increased data consumption rates. Additionally, my proficiency in cloud services like AWS, Azure, and Databricks enables me to architect solutions that are both robust and scalable.
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