Python
R V Abhishek
AWS FinOps Lead
Summary
As an AWS FinOps team lead, I specialize in optimizing costs and financial efficiency across cloud environments. Leveraging advanced FinOps methodologies and tools, I ensure precise cost allocation, budgeting, and forecasting for diverse cloud workloads. My role involves implementing strategic cost optimization initiatives, such as leveraging Reserved Instances, Savings Plans, and spot instances effectively. I utilize advanced analytics and automation tools to identify cost-saving opportunities and optimize resource utilization without compromising performance or scalability. By staying updated with the latest AWS pricing models, billing practices, and cloud economics, I contribute directly to organizational success and sustainable growth strategies. As a former Cloud Engineer at Amazon Web Services (AWS), I specialized in building and deploying scalable, secure cloud infrastructure using Infrastructure as Code (IaC) tools and best practices. Passionate about leveraging cloud technologies, I delivered innovative and cost-effective solutions for various business challenges.
Overview
8
8
years of professional experience
Work History
AWS FinOps Lead
TCS
04.2024 - Current
- Team Management: Lead a team of 6 members across two wings, focusing on reporting and optimization, achieving a 35% increase in team efficiency and collaboration.
- Cost Optimization: Utilized AWS native tools such as Cost Explorer, Trusted Advisor, Compute Optimizer, and Cost Optimization Hub to identify and realize potential savings of $250K annually, reducing cloud costs by 15%.
- Dashboard Creation: Developed ~10 highly interactive dashboards using QuickSight, enhancing stakeholder engagement and decision-making, leading to a 35% improvement in report accessibility and clarity.
- Market Awareness: Continuously tracked and analyzed new market offerings and discounts, integrating emerging services that contributed to a 15% reduction in overall cloud spend.
- RI/SP Management: Proposed and purchased Reserved Instances (RIs) and Savings Plans (SPs) with a strategic approach, resulting in a ~35% savings on cloud expenditure and optimizing resource allocation.
- Application Optimization: Led dedicated optimization for all major applications each sprint, achieving a 15% reduction in application costs while not compromising on performance.
- Training & Advocacy: Conducted 15+ training sessions and workshops to instill a cloud cost mindset within the organization, resulting in a 25% decrease in unnecessary cloud expenditures.
- Best Practices Documentation: Created a comprehensive document outlining design principles and best practices, reducing the need for retroactive cost optimization by 30% and ensuring proactive cost management.
- Compute Rightsizing: Implemented compute rightsizing strategies that effectively lowered the unit cost of compute resources by ~15%, contributing to overall cost efficiency improvements.
AWS Support Engineer
Amazon Pay
04.2021 - 02.2022
- Was part of on-call schedule which handled periodic and ad-hoc deployments to code pipeline. Was responsible to make sure pipeline is healthy and deployed code passed all tests before deploying to prod.
- Re-configured & Maintained alarms for ~5 core payment services which helped in 15% incoming ticket reduction caused due to incorrect alarm / monitor configurations.
- Performed application-specific root cause analysis and troubleshooting along with steps to prevent recurrence which helped in reducing ~20% of incoming high severity tickets each month.
- Stood as point of contact for workflows which core payment systems invoke. These workflows involved key services like authorizing/ charging / refunding payment. Any discrepancy in these workflows could lead to potential bad debt. Was responsible to take care of failed workflows and try to mitigate impact. These workflows were AWS step functions.
- Performed detailed analysis and provided automation ideas for improvement in current payment workflows to proactively counter bad debt.
Software Developer Intern
Amazon
09.2020 - 03.2021
- Developed notification driven message delivery service (10 messages per minute) using AWS Lambda and Java. Developed this entire project adhering to SDLC lifecycle i.e. prepared HLD and LLD architecture diagrams, had designs review and finally decided to use serverless architecture.
- Wrote clear, clean reusable code along with respective unit tests.
- Configured and Allocated required Infrastructure using AWS CloudFormation.
- Enabled logging, monitoring and alarming via AWS Cloudwatch.
- Developed highly available and fault tolerant (retry enabled) microservice in AWS.
Junior Business Analyst
Amazon Last Mile Data Science
04.2019 - 09.2020
- Was involved in initial data preparation which involved querying and cleaning millions of address across 40+ Indian cities, which was later used as input to ML model which predicts Geo-codes.
- Prepared relevant SOP for auditors who were appointed on ground truth exercises through which efficiency of driver and route followed were tracked. This SOP made sure auditor is educated enough to capture all critical tracking points.
- Took complete ownership of ML Geo-code prediction cycle which involved, Collection of data, Cleaning it, feeding it to ML model to fetch predictions and later derive key performance indicators and later share it to concerned stakeholders.
- Automated all individual tasks from above and later automated entire process.
Transportation Quality Specialist
Amazon Last Mile Quality & Auditing
08.2016 - 04.2019
- Educated employees on specific QA standards and established maintenance of standards by educating ~45 auditors and was POC for Quality Control. This increased average quality of auditor to from ~75% to ~90%.
- Provided regular updates to team leadership on quality metrics.
Education
Bachelor of Science - Computer Science & Engineering
J.B.I.E.T
12.2012 - 01.2016
Intermediate - Mathematics, Physics, Chemistry
Narayana Junior College
04.2001 - 01.2011
S.S.C -
Narayana Concept School
03.2008 - 01.2009
Skills
Cloud Financial Management
AWS QuickSight
Technical Writing
Debugging skills
Automation
CI/CD
Software
Java
UNIX/Linux
Languages
English
Telugu
Hindi
Timeline
AWS FinOps Lead
TCS
04.2024 - Current
AWS Support Engineer
Amazon Pay
04.2021 - 02.2022
Software Developer Intern
Amazon
09.2020 - 03.2021
Junior Business Analyst
Amazon Last Mile Data Science
04.2019 - 09.2020
Transportation Quality Specialist
Amazon Last Mile Quality & Auditing
08.2016 - 04.2019
Bachelor of Science - Computer Science & Engineering
J.B.I.E.T
12.2012 - 01.2016
S.S.C -
Narayana Concept School
03.2008 - 01.2009
Intermediate - Mathematics, Physics, Chemistry
Narayana Junior College
04.2001 - 01.2011