Keerthi Rapolu
Staff Data Engineer | Snowflake & Databricks | Dbt | Mainframes | Cloud-Scale Analytics & AI Pipelines
- Role
- Staff Data Engineer (Cloud Finops Ai) at ServiceNow
- Location
- Houston, TX, US
- LinkedIn followers
- 500 followers
About Keerthi Rapolu
I started my career working deep in enterprise mainframe systems, building and testing COBOL applications integrated with DB2, where I learned discipline, precision, and the importance of reliable systems. As technology evolved, I adapted—moving into Oracle and distributed environments, then gradually transitioning into large-scale data engineering and cloud platforms. Over the years, I’ve led complex modernization journeys, migrating legacy Oracle and mainframe workloads into Snowflake and Databricks, and designing scalable, production-ready data platforms on AWS and Azure. I’ve built real-time and batch pipelines using tools like Airflow, Glue, Delta Live Tables, dbt, and PySpark, and implemented advanced capabilities such as entity resolution, data quality automation, and AI-driven analytics. Most recently, I’ve delivered end-to-end cloud solutions that combine data engineering with AI and user-facing experiences—demonstrating not just technical growth, but continuous adaptation, ownership, and the ability to translate complex systems into business-ready outcomes.
Experience
Staff Data Engineer (Cloud Finops Ai)
Feb 2026 — Present · Houston, TX, US
Leading the design and development of AI-driven FinOps analytics platforms to deliver cost visibility and optimization across multi-cloud environments (AWS, GCP, Azure).Architect and own scalable cost allocation frameworks that enable accurate attribution, financial transparency, and improved cloud spend governance. Define and evolve data models and platform standards using SQL, Python, dbt, Trino, and Iceberg to support high-volume, distributed analytics.Build and operate resilient data pipelines and orchestration systems with Argo Workflows, ensuring reliability, performance, and scalability. Drive adoption of modern data engineering practices and AI-assisted (Claude-driven) development to accelerate delivery and enhance analytical accuracy.Collaborate cross-functionally with engineering, finance, and platform teams to influence FinOps strategy, improve cost efficiency, and deliver actionable insights that support business decision-making.
Education
INSTITUTE OF AERONAUTICAL ENGINEERING
Bachelor's degree, ECE
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