shivanimoparthi User

I’m an Analytics Engineer with 1.5 years building production data pipelines, workflow orchestration, and governed semantic models at a US-based e-commerce company. My work focuses on reliability, data governance, and accelerating self-service analytics for analysts and business teams.

I shipped an AI-powered MCP framework that automates LookML generation and modification, and I served as the primary Looker Administrator. I built 10+ Explores and 50+ governed LookML views while owning semantic layer governance, and I delivered AI-assisted analyst tools for query optimization, troubleshooting, and metadata discovery adopted by 18 analysts.

I re-engineered 5+ SQL workflows into PySpark to improve performance, scalability, and maintainability. I streamlined 25+ Athena reporting sheets, saving over 1,400 analyst hours annually by eliminating manual refreshes, and I developed Python automation to identify and deprecate 4,000+ redundant experimentation metrics, strengthening metric governance.

For platform reliability, I migrated 57+ production jobs from Databricks-native scheduling to Apache Airflow and standardized orchestration. I implemented monitoring and real-time alerting to improve workflow success rate to 96%, transitioning pipelines from cron-based to dependency-driven execution and reducing data availability delays by 2–3 hours.