Subha Murali

Accelerated design and roll out of scalable ingestion & transformations pipelines in AWS (processed terabytes of data, improving data accessibility and reliability). Optimized data warehouse performance, resulting in a 70% reduction in query times. Partnered with data scientists to implement machine learning models into production. Mentored junior data engineers, resulting in 40% improvement in their performance. Spearheaded data projects that provided critical insights, directly contributing to a revenue increase of $5,00,000. Implemented data quality and governance frameworks, reducing data errors by 80%. Introduced Agile methodologies to the data engineering team, improving project delivery times by 30%. Coached 10+ teams to higher levels of maturity by improving their process and ensuring they adhere to scrum framework.

Owned and Delivered $50K worth savings in Projects involving data ingestion to EDL (Enterprise Data Lake). Saved Cost worth $20K in Mergers & Acquisition activity. Mentored cross functional team of 20 members across the Enterprise Data Platform to integrate, centralize data from all applications. Implemented and improved adoption of JIRA which reduced the time to create and manage tickets by average of 5 days.

Owner of Product Backlog, Product Evangelist, Release Planning and management. Managed data conversion/migration of 15+ different types of data sources (Oracle, MS SQL Server, Postgres, Hive, Fixed Width, HDFS, JSON and XML etc.). Built strong relationship and trust with customer stakeholders and leaders that increased the customer base from 20 to 460+ customers in a span of 5 years.

Executed rigorous ETL testing protocols for complex data integration projects, leveraging Informatica and DataStage, enhancing data accuracy and reliability across Oracle, SAP HANA, Teradata, SQL Server, Netezza, and Postgres environments by 50%. Designed testing approach for General Ledger ETL migration project with data reconciliation that resulted in 0 production defects. Improved efficiency by 70% and reduced test cycle by automating regression test scripts.