- Reduced Ring's infrastructure costs resulting in year-over-year cost decreases, saving millions of dollars and ensuring profitability.- Driving strategic initiatives to deliver cost visibility and forecasting by feature/device type, automated spend controls, and intelligent cost visibility tools with savings recommendations.- Developed and maintained tools for daily AWS spend visibility, comprehensive infrastructure reporting, anomaly detection, advanced cost analysis, and forecasting.- Empowering Finance with self-service tools for cost reporting and forecasting, Product Management with cost modeling for feature prioritization, and Engineering with cost visibility and optimization guidance.- Collaborating with AWS SMEs to align with best practices and advocate for Ring's interests and requirements.- Driving initiatives to drive optimal cloud efficiency across Ring's cloud infrastructure.- Developing comprehensive solutions that provide granular cost visibility, forecasting capabilities, resource monitoring, and optimization recommendations.- Enabling cost-conscious decision-making, feature prioritization based on cost implications, and accurate cost reporting and forecasting through close collaboration with Engineering, Product Management, and Finance stakeholders.- Contributing directly to Ring's profitability goals by reducing AWS operating costs while maintaining high-quality products and services for customers.

- Delivered a leadership goal of automated patching of hundreds of thousands of EC2 instances within 3 weeks, enabling compliance with critical security requirements.- Delivered a low-latency, high-throughput custom load balancer microservice, significantly improving the availability of the AWS Directory Service and maintaining a high bar for Operational Excellence.- Improved the service's security posture by addressing all identified security gaps, resulting in zero security escalations, a remarkable improvement from the previous status quo.- Hired, developed, and mentored a high-performing, two-pizza team of Software Engineers across Canada and the US over 2.5 years, successfully promoting several team members and ensuring their career growth.- Cultivated a strong team culture, fostering a highly motivated and high-performing team that delivered all project goals while maintaining an exceptional organizational health score.- Reduced incoming operations tickets by 50% through focused Ops Improvements initiatives, significantly enhancing efficiency and operational sustainability.- Followed operational best practices rigorously, ensuring near-zero operational overhead and minimal defects, maintaining a high standard of quality and reliability.- Led organizational planning and roadmap efforts, ensuring alignment with customer needs and prioritizing the right initiatives for maximum impact.

- Designed and developed anti-entropy based drift detection system, assuring data parity between components of a critical tier-1 AWS service (AWS Directory Service)- Collaborated with senior engineers and leadership to architect a robust design for custom load balancer micro-service application- Mentored and developed the team to deliver the low-level-designs and code implementation for the service.- Proactively identified risks and brought them to the attention of the right stakeholders and ensured timely mitigation.- Followed operational best practices to ensure near-zero operational overhead and minimal defects.- Led operational planning and roadmap, ensuring the right priorities aligning with customer needs.- Communicated effectively to the project progress and risks to our leadership and other stakeholders.

• Led a highly popular customer session at re-invent 2021 on how to benefit from data analytics and ML services in AWS.• Played an important role in winning some big customers from the competition and lead the growth of AWS cloud adoption for customers to use services like Managed Active Directory and Amazon Redshift.• Led different open-source projects on AWS Samples GitHub repository to help guide customers with architectural best practices. • Led different enablement and scaling activities to make our solutions simpler and easier to use by both customers and other Amazonians.• An active contributor to AWS Blogs. Published eleven AWS Big Data Blogs covering wide variety of use-cases on Identity and Data analytics.

I led the sustaining engineering team for a 6-year investment banking customer project, moving all their on-premises applications to an all-in AWS strategy. Leading a team of 6 database developers and analysts, I made key contributions:- Optimized a 30TB Investment Analytical Warehouse (IAW) on Amazon Redshift, improving query performance by 50% and reducing costs by 33% through best practices implementation and migrating core business logic from Oracle Exadata.- Developed a Java-based Data Reconciliation Framework in AWS to automate data quality monitoring and governance, allowing analysts to easily configure custom alarms and ensure optimum data quality. This became hugely popular.- Created a configurable, real-time Serverless Support Dashboard leveraging AWS Lambda and API Gateway to provide executive management visibility into data anomalies at minimal operational cost.My leadership in solution design, implementation, and process optimization ensured successful migration and efficient, cost-effective operations for this data-centric project.

Migration and re-engineering of Complex Location Intelligence Algorithms for Sales Prediction Analysis of a new/proposed Sales Unit from SQL Server to Oracle 11gIn that project, I worked with a team of 12 to execute migration from SQL Server to Oracle 11g, re-engineered complex location intelligence algorithms for sales prediction analysis. I transformed the product with new capabilities, optimized performance, and delivered within time and budget.

- Enabled real-time availability of information covering 100,000+ personnel and ensured compliance with complex and stringent regulations while adhering to policy requirements.- Developed an Automated Posting Module that revolutionized the posting process of the Indian Air Force (IAF). This increased the efficiency and accuracy of postings across India, based on profile, skills, organizational, and family needs. It also increased transparency of the process, which resulted in a substantial reduction in litigation cases filed against the IAF.