About
I am a pioneering Enterprise Data Architect and Technology Leader with 20+ years of experience designing transformative, cloud-native data platforms for Fortune 500 organizations in financial services, automotive, retail, and manufacturing.
As the founding architect of Data Reliability Engineering (DRE) at Hitachi, a discipline I developed that has been described as "SRE for Data," I created frameworks for self-healing data pipelines, automated data quality monitoring, and AI-powered system observability that are now deployed by organizations worldwide through the Hitachi Lumada platform.
Skills & Expertise
SQL
Data Analysis
Data Engineering
ETL operation
Oracle
Data Architects
Business Intelligence
Predictive Modeling
Oracle Database
Research Interests
Google Cloud SQL
Google Compute Engine
Data Management
Microsoft Azure
Google BigQuery
Connect With Me
Experience
Senior Data Architect
Leading enterprise architecture for scalable Data Vault 2.0 framework on Snowflake at Fiserv, a Fortune 500 global leader in financial services technology ($19.1B revenue, 40,000+ employees, serving 12,000+ financial institutions processing billions of transactions annually). Applying Data Reliability Engineering principles I pioneered at Hitachi to drive data reliability, lineage visibility, and audit-ready design supporting analytics, regulatory reporting, and AI use cases across Fiserv's financial platforms serving 100+ million consumer accounts.
Senior Data Architect
Led critical digital transformation for Republic Finance, one of the largest consumer installment loan providers in the United States ($1.4B+ portfolio, 360,000 customers, 260+ branches). Designed and deployed AI-powered fraud detection system achieving 55% reduction in fraud losses, 70% faster investigations, and 40% fewer false positives, now adopted as company-wide standard. Led enterprise migration from SQL Server to Snowflake, implementing Data Reliability Engineering frameworks that improved data quality metrics by 30% and ensured regulatory compliance. These fraud prevention methodologies have broader applicability across the consumer lending industry.
Senior Data Architect
Served as founding architect of Data Reliability Engineering (DRE) within Hitachi Application Reliability Centers, pioneering a discipline now recognized and adopted globally. Developed frameworks for self-healing data pipelines, automated data quality monitoring, AI-powered observability, and cloud-native governance that were integrated into Hitachi Lumada platform. These frameworks are now independently deployed by Fortune 500 organizations including Disney Parks (predictive maintenance), Toyota, Wells Fargo, UCLA, Yamaha, and Suntory for predictive maintenance, digital payments, and operational optimization.
Senior Data Architect
Led data architecture transformation for Texas Capital Bank ($28B assets, named Best Regional Bank 2024 by Bankrate), designing cloud-based digital onboarding platforms, data governance frameworks, and regulatory compliance systems. Architected self-healing data pipeline frameworks that set new industry benchmarks for fraud prevention in regional banking, with methodologies subsequently referenced and adopted by peer financial institutions. Key contributor to Toyota Innovation Partner of the Year 2022 Award, with Hitachi Vantara selected from 2,000+ technology partners for Toyota Core Receivables Data Modernization program. Delivered enterprise data solutions for Nintendo of America (40% efficiency improvement, 30% cost reduction) and additional Fortune 500 clients.
Senior Data Architect, Cloud Engineering and Analytics
• Design and development of Data Governance, Enterprise Data Warehouse, Data Lake, and Operational Data Store
• Enterprise cloud solutions data architecture, design, and development support for clients
• Managed large-scale projects and introduced new systems, tools, and processes to achieve challenging objectives.
• Leading sessions with Enterprise and Hub Data Stewards, Engineering teams, and Data Scientists
• Helping clients identify the proper hardware & software solutions for on-prem, cloud, and hybrid applications
• Active contributor to code development in projects and services
• Well-versed in a global delivery model
• Evaluated hiring, firing, and promotions requests.
Education
Osmania University
Kakatiya University
Certificates & Licenses (3)
Oracle Business Intelligence (OBIEE 11g) Certified Implementation Specialist
Google Cloud Professional Data Engineer
A Professional Data Engineer makes data usable and valuable for others by collecting, transforming, and publishing data. This individual evaluates and selects products and services to meet business and regulatory requirements. A Professional Data Engineer creates and manages robust data processing systems. This includes the ability to design, build, deploy, monitor, maintain, and secure data processing workloads.
The Professional Data Engineer exam assesses your ability to:
• Design data processing systems
• Ingest and process the data
• Store the data
• Prepare and use data for analysis
• Maintain and automate data workloads
Google Cloud Certified Professional Cloud Architect
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