Naresh Babu Sirigineedi
Senior Software Engineer (AVP) @Wells Fargo
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WORK HISTORY
Senior Software Engineer (AVP) @Wells Fargo
Hyderabad, IN
Architect and deliver enterprise-scale business intelligence and analytics platforms supporting operational risk monitoring and compliance reporting for banking systems.Key contributions:• Designed and developed advanced Power BI dashboards supporting operational risk analytics and compliance reporting.• Implemented scalable data processing pipelines using Databricks for large-scale enterprise data processing.• Integrated Databricks with Power BI, MicroStrategy, and Tableau to enable enterprise-wide analytics.• Conducted complex data analysis to identify operational and financial risk indicators.• Delivered analytics solutions combining Databricks, SSIS, and enterprise data warehouse platforms.• Enabled business teams to make faster decisions through interactive dashboards and automated reporting solutions.
EDUCATION
Andhra Polytechnic Kakinada
Diploma, Computer Science
Jawaharlal Nehru Technological University
Bachelor of Technology (BTech), Computer Science
SKILLS
ABOUT NARESH BABU SIRIGINEEDI
I am a Principal Business Intelligence Architect with 14+ years of experience designing and delivering enterprise-scale data analytics, business intelligence, and data engineering platforms across banking and enterprise domains.My expertise lies in building end-to-end analytics ecosystems that transform raw enterprise data into actionable insights using modern BI and data platforms, including Power BI, MicroStrategy, Tableau, Databricks, DataStage, Informatica, and SSIS.Over the years, I have architected scalable data platforms supporting millions of customers and transactions, enabling organizations to strengthen risk monitoring, regulatory reporting, operational intelligence, and executive decision-making.Key highlights of my experience include:• Architecting enterprise BI platforms supporting 7M+ transactions annually• Designing reporting systems serving 2M+ customers across distributed environments• Improving ETL performance from 10 minutes to 30 seconds through architectural optimization• Delivering 80+ analytics initiatives for operational risk and compliance monitoring• Achieving 250% performance improvement in reporting modules through query optimization and cachingI enjoy working with cross-functional teams, business stakeholders, and data engineers to design analytics platforms that enable organizations to become truly data-driven enterprises.I have deep experience in BI architecture, semantic layer design, enterprise reporting frameworks, and ETL pipeline optimization, helping organizations modernize legacy reporting systems into cloud-ready analytics platforms on AWS and Azure.
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