Hema Athota

Big Data Engineer @Jabil

Florence, KY, US

As a Data Engineer at Jabil, I developed and maintained scalable ETL pipelines using PySpark, AWS Glue, and EMR to process high-volume server diagnostic data. I built robust data ingestion workflows leveraging AWS S3 and performed complex data transformations using Python and SQL. I designed and created Snowflake tables and views, ensuring efficient reporting and analytics across engineering and QA teams. I implemented automated data validation checks and built an email alerting system to notify stakeholders of pipeline failures. My work contributed to identifying root causes of hardware issues, optimizing performance, and supporting production-ready, analytics-driven insights. I also followed Agile methodologies and managed deployments using Git.