SRIRAM KRISHNAN

Delivered high-impact BI solutions for a $2B+ consumer lending portfolio, successfully reducing reporting turnaround time by 40%.

Led comprehensive cloud migration projects and built scalable ETL pipelines using PySpark, Airflow, and Snowflake, achieving 99.9% data accuracy and improved compliance.

Managed and mentored a 40-member data and BI engineering team across multiple regions, fostering high-performance and technical excellence.

Established robust AI/ML-ready data infrastructure, significantly boosting model accuracy and trust in advanced analytics initiatives.

Enabled self-service BI frameworks (Tableau, QlikView) across the organization, reducing ad hoc reporting by 35%.

Provided strategic consulting for enterprise-wide BI initiatives, defining architectural best practices to enhance data solutions.

Led data architecture assessments and optimization strategies, significantly improving enterprise reporting efficiency.

Conducted detailed requirement analysis workshops to align BI solutions with critical business objectives.

Developed data preparation strategies to effectively support machine learning initiatives and automation efforts.

Led a team of BI developers in designing interactive dashboards and analytical reports to provide actionable insights.

Created robust data lineage and metadata management solutions, significantly enhancing data traceability and usability.

Built structured data pipelines, ensuring machine learning models had clean and well-labeled datasets for optimal performance.

Developed performance reporting frameworks, accurately reflecting financial and operational KPIs.

Conducted comprehensive data modeling and architecture enhancements to optimize reporting and analytics capabilities.

Performed critical performance tuning for reporting platforms, successfully reducing query times by 30%.

Built robust data transformation workflows to support various BI development initiatives.

Led the migration from Business Objects to Cognos, ensuring smooth transition and optimal user enablement.

Designed and implemented role-based access controls, enhancing data security and governance across systems.

Developed critical data infrastructure to support advanced analytics initiatives.

Contributed to ETL process design and implementation, ensuring efficient data extraction and transformation.

Supported financial data analysis and reporting automation initiatives, enhancing reporting accuracy and timeliness.