Gobiha Murugesan

Led end-to-end data pipelines for e-commerce analytics with a focus on batch and real-time processing. Implemented PySpark pipelines on AWS Glue to process millions of records, reducing processing latency by 30%. Stored cleansed data in Redshift, queried via Athena, and built QuickSight dashboards to track delivery performance and customer satisfaction, improving order lifecycle visibility and reducing delays. Designed scalable data workflows using Glue, PySpark, and EMR; automated orchestration with Airflow and Lambda; implemented monitoring with CloudWatch and IAM. Collaborated with business analysts and data scientists to translate requirements into actionable data solutions, and delivered dashboards to support decision-making.

Provided Level 1 and Level 2 technical support to resolve hardware, software, and network issues. Diagnosed and troubleshot system and connectivity problems using remote tools and ticketing systems. Guided users through configuration steps, escalated complex issues, and maintained records to improve knowledge base accuracy and support efficiency.

Provided Level 1 and Level 2 technical support to resolve hardware, software, and network issues for end users; diagnosed and troubleshot system and connectivity problems; guided users through email configuration, software installation, and access management; escalated complex issues to higher-level teams; maintained accurate records of service requests and resolutions to improve support efficiency.