MURALI DAROORI

Led a WWQC initiative enabling data-driven decisions to optimize game health, stability, and revenue growth. Developed business metrics and robust ETL solutions to improve operational efficiency, including scalable Jira data ingestion (Neocrafter) with an emphasis on data quality, security, and accuracy. Migrated ETL workflows from Informatica to an in-house dbt-like tool (eFC) combined with Airflow, integrating Snowflake to automate workflows and reduce operational overhead. Optimized Snowflake SQL for cost reduction (30%) and improved batch runtime (60%). Currently leading Databricks migration, leveraging Azure Data Factory and a Data Lake for real-time data processing pipelines, and migrating MicroStrategy reporting to Power BI.

Ensured seamless operation and enhancement of EDW data products by optimizing ETL pipelines for reliability and efficiency. Designed scalable ETL solutions by collaborating with IT teams, architects, and analysts to gather requirements and support release management. Built data ingestion pipelines integrating structured and unstructured data for reports and dashboards, validating accuracy through UAT. Managed escalations, system outages, migrations, and production deployments to maintain BI application performance. Optimized ETL extraction strategies to reduce runtime by 30% and resource costs by 50%. Worked with clients (including Blue Shield of California, Johnson & Johnson, Cummins Inc., Duke Energy, and 3M) to implement Informatica-based loading into Teradata, and performed data profiling/audits to improve accuracy and enable scalable enhancements.