Ravi Potluri

About Ravi Potluri

Verizon, Oracle, BluJay, Wayfair, Scholastic, Apple, Wells Fargo, TWC and other major companies in the USA and IndiaOver 17 years of hands-on experience in enterprise software development, including leadership and management roles. Main focus is Databricks, AWS, EKS,microservices, istio, Prometheus, and Data Platform Engineering.Extensive expertise in Databricks (2 years), Kubernetes (4 years), Terraform (2 years), AWS (10 years), EKS (4 years), JavaScript (14 years), PySpark (2 years), Prometheus (3 years), Python (4 years), and MLOps/Data Platform Engineering (2 years), MLflow(2yrs), Mozaic AIStrong background as an Architect, working with Databricks Lakehouse platforms, microservices, and handling intensive workloads across multi-technology clusters. Proficient in designing robust disaster recovery plans and migration strategies to Databricks, leveraging VPC peering, Delta Sharing, and scripting for seamless data transfer.Experienced in managing S3 uploads for Delta Lake, configuring CloudFront for content delivery, and setting up Route 53 DNS and SSL for secure and reliable data applications.Skilled in presenting complex technical concepts related to Databricks disaster recovery and migration in a clear and concise manner, ensuring stakeholders have a comprehensive understanding of the plans and their benefits.Skilled in presales activities, collaborating with clients to understand their requirements and providing appropriate Databricks and Cloud technical

Experience

1. Solutions Strategy Transformation Consultant Product Manager

   Wolters Kluwer

   May 2023 — Present · Hyderabad, IN

   Databricks Unit (DBU) and Spot optimization, compute forecasting, and Delta Lake lifecycle tiering (Standard → Glacier/Deep Archive).Led multi-AZ Terraform architecture (Databricks Workspaces, VPC, RDS, ALB, EKS, Prometheus, Grafana) with GitHub Actions automation, improving deployment governance and uptime to 99.98%.Designed and executed disaster recovery protocols (RTO 2 hrs / RPO 30 min) integrating Delta Deep Clone, automated failovers, Lambda rollbacks, and EBS/RDS snapshots, reducing downtime by 40%.Established a FinOps maturity framework linking Databricks engineering efficiency to P&L metrics; improved EBITDA margin by 4 pts and aligned Lakehouse spend with valuation models.Integrated DCF/LBO projections into Data Transformation initiatives to validate Series funding decisions; modeled CAGR at 6.7% IRR using UFCF and EV-based growth forecasting.Improved compliance posture by 45%, automating Unity Catalog audit logs, CloudTrail, and Config validations, and deploying IAM/Unity Catalog least privilege enforcement across all accounts.Delivered a unified Operational Readiness Tool (AWS Config + Lambda) that reduced audit time by 80% and enabled self-remediation for Databricks workspace and compliance violations.Created a KPI governance layer combining financial, operational, and security metrics (EBITDA, Databricks pipeline uptime, risk scores) to drive

Education

• University of Minnesota

  Master’s Degree, comp engg

  2007 — 2008

Skills

• Sql
• Html
• Javascript
• Html 5
• Java
• Php
• Git
• C++
• Css
• Oop
• Subversion
• Mysql
• Ajax
• Jquery
• Xml