Ravinder Maramamula

About Ravinder Maramamula

I’m a hands-on technical leader with experience in architecting and scaling cloud-native data infrastructure, leading cost-optimization strategy, and modernizing analytics platforms across the pharma, banking & Health Care Insurance industries.Architecting Enterprise level analytical platforms which cater to large user base is my forte. At Gilead Sciences, I led the cloud transformation of SAS & R analytics platforms to AWS (EKS, EC2), improving scalability and reducing platform overhead by 25%. I enabled secure, compliant (GxP, 21 CFR Part 11) analytics using SAS Viya, R Shiny Proxy, and Streamlit, while implementing FinOps frameworks for budgeting, anomaly detection, and cloud governance. At Deutsche Bank, I managed a 450+ node global Market Risk platform, integrating Cloudera Hadoop, SAS Grid, and Oracle. I automated infrastructure with Terraform and Ansible, introduced telemetry via Grafana, and cut deployment cycles by 40%—delivering scalable systems aligned with OCC audit standards. I lead globally distributed engineering teams, drive cross-functional collaboration, and thrive in highly regulated, performance-critical environments. My passion lies in solving infrastructure challenges with elegant, scalable solutions that fuel innovation. Let’s connect if you\'re Building SASViya or R on Cloud(AWS) or scaling cloud infrastructure, implementing FinOps culture, or looking for technical leadership that aligns engineering delivery with business value.

Experience

1. Senior Technical Manager

   Gilead Sciences

   Feb 2023 — Present · Raleigh, NC, US

   Led the team in building a Complex SAS Viya Enterprise GxP Application on AWS cloud, ensuring seamless integration and functionality.• Collaborated with multiple vendor teams to monitor operations and costs, keeping stakeholders informed and ensuring project success.Cloud Infrastructure Optimization & Governance – AWS Focus Cloud Architecture & Cost EfficiencySelected and right-sized AWS EC2 instances tailored to performance and budget needs across multiple enterprise projects.Implemented cloud cost monitoring and optimization frameworks, leveraging AWS-native tools and FinOps principles.Developed strategies for cloud discount allocation, Tagging and reclassification, ensuring accurate chargebacks to business units using shared enterprise platforms.Proficient in SQL Querying and Optimization Techniques. Stakeholder Engagement & ReportingRegularly delivered cloud cost transparency reports and insights to senior leadership and cross-functional business units.Gathered pain points from stakeholders and delivered platform-wide enhancements to improve performance, visibility, and ROI.🤝 Vendor & License ManagementManaged vendor relationships and led license procurement negotiations for large-scale enterprise agreements. Enterprise Storage & Application TuningOptimized AWS storage services (FSxN, EFS, EBS) for high-throughput analytical workloads.Enhanced application performance through fine-tuning: Networking EnhancementsDesigned and deployed Availability Zone colocation strategies, VPC peering, and cross-region optimization to support high-availability cloud analytics.• Developed subject matter expertise within junior IT staff in Advanced Analytics and data management space.Skills : SASViya,AWS, R, SQL, JMP, DBT, Jenkins, ThoughtSpot,Budgets, AWS Cost Explorer, Grafana, ESM.

Education

• SRM Junior College

  High School, Maths Physics Chemistry

  1996 — 1998

• Osmania University

  MCA, Computer Applications

  2002 — 2005

• Osmania University

  BSc, Maths, Physics,Computers

  1998 — 2001

• Railway Mixed High School

  High School

  1995 — 1996

Skills

• Hadoop
• Data Extraction
• Customer Intelligence
• Sas Ma
• Coding Standards
• Unix
• Data Reporting
• Github
• Retail Banking
• Credit Risk
• Credit Cards
• Etl
• Sas/Sql
• Banking
• Sas Platform Administration
• Data Cleansing
• Sas Visual Analytics
• Jira
• Data Presentation
• Sas
• Data Transformation
• Healthcare
• Data Analysis
• Data Warehousing
• Investment Banking
• Teradata
• Market Risk