Sunil GUMUDAVELLY

• Driving architecture design and implementation of Azure
Databricks and Delta Lakehouse solutions.
• Developed enterprise-wide data governance strategy improving
lineage, quality, and discoverability.
• Leading digital transformation initiatives aligned to core
business KPIs across verticals.
• Collaborating with DevOps teams to automate deployment
pipelines and ensure CI/CD best practices.
• Designed and implemented CI/CD pipelines using Azure DevOps
and GitHub Actions to streamline development, testing, and
deployment.
• Developed scalable data engineering solutions with PySpark and
Delta Lake, supporting real-time and batch data processing.

• Architected and delivered the Pepsi Global Template (PGT),
streamlining global data operations.
• Directed 20+ member team in implementing Lakehouse
architecture, boosting AI/ML readiness.
• Established scalable OLTP/OLAP models enabling predictive
insights across global operations.
• Led enterprise data architecture initiatives across supply chain
and finance domains.
• Designed and maintained target-state architecture for data
platforms supporting governance, analytics, and machine
learning workloads.
• Collaborated with business stakeholders and engineering teams
to translate requirements into scalable and governed data
solutions.

• Led customer, orders, and product domain data strategies for
enterprise clients.
• Designed normalized models and implemented governance
frameworks for improved stewardship.

• Delivered enterprise-wide credit risk and regulatory
architecture across wholesale and retail.
• Integrated Teradata and IBM data models into a unified banking
data ecosystem.
• Managed 20+ resources and defined data enablement strategies
and taxonomies.

• Designed fraud and credit risk data architecture, including
business glossary and metadata.
• Developed end-to-end models for enterprise-wide Customer
Information Management.

• Delivered global AML, Litigation, and Card systems architecture
for banking clients.
• Led 40+ team members implementing IBM Banking Data
Warehouse Models.

• Designed digital marketing and e-commerce order pipeline
models.
• Architected clickstream analytics solutions for real-time
marketing insights.

• Built enterprise ETL pipelines and automated deployment
documentation.
• Delivered production-ready BI reporting layers for global
manufacturing clients.