Gayathri G

I am a results-driven Data Engineer with five years of experience designing, developing, and implementing scalable data solutions for enterprise applications. I specialize in big data technologies including Spark, Hadoop, Azure Data Factory, Databricks, and AWS EMR, delivering robust ETL pipelines and optimized analytical models.

My hands-on work includes building PySpark applications, managing data lakes and Delta Lake architectures, and integrating data across Azure and AWS services (S3, EMR, ADF, Databricks, Azure SQL). I have improved job performance through Spark and Hive tuning, automated workflows with Step Functions, and implemented document processing pipelines that reduced manual entry.

I am organized, self-motivated, and collaborate closely with cross-functional teams to resolve data issues and deploy solutions across DEV, QA, and PROD. I focus on reliability, performance optimization, and secure credential management to support scalable, production-grade data platforms.