Headline

Leadership - Engineering (Platform Engineering @ Wayfair | Ex-Adobe | Ex-Yahoo | Start-ups)

About

24+ years experience in Reliability, Software and Cloud with experience managing large-scale distributed systems, BIG DATA technologies, Hadoop ecosystems, Internet applications, and technologies. * Accomplished technical/people leadership with good 24+ years of experience with the ability to build and manage global teams and having strong business sense in various domains. * Proven leadership skills in leading and managing geographically dispersed large-scale data infrastructure & production engineering, DevOps, TechOps, and operations engineering teams with close collaboration across product, operations & business leadership teams. * Expertise in Big Data, Hadoop ecosystem & technologies. * Expertise in Business Intelligence, Data Warehousing, Data mining, Reporting & Analytics. * Strong knowledge of Data Integration & Messaging Services. * Strong knowledge of Advertising/Publishing and relative domains in the advertising ecosystems * Operated massive User data & Mobile App Analytics products. * Strong experience in production readiness, product strategy, engineering management & leadership * Highly involved in Project Management, developing Success Criteria, Impact Analysis, Failure Mode and Effect Analysis, Business Process * Analysis and Requirement Gathering and preparing both Functional and non-Functional Specifications, Product Evaluation, Solution Design, Technical Design, Development, and testing during the execution phase of the projects. Specialties: * Multi-Cloud Strategy across Private & Public Clouds (GCP, Azure, AWS..) * Large migrations across DC to Public clouds * Large Scale Distributed Operations, Automations * Grid Computing, Data Pipeline Operations, Remote Management, Incidence Management, Hadoop Eco System * ETL, Data warehousing * Large-scale data infrastructure, distributed data systems * Service and Production engineering * BIG Data processing and ecosystem * e-commerce services like product catalog development, payment gateway development as a service, B2B, and B2C in-depth business sense.

Location

Bengaluru

AI stack

anthropic apis

claude code

cursor

n8n

Devin

Work experience

Head of Platform (Cloud Platforms & Engineering) at Wayfair, May 2023 - Present · 3 yrs 4 mos, Bengaluru, Karnataka, India

Vice President Reliability Engineering, Security & Cloud Engineering - BYJU’s Group at BYJU'S, Feb 2022 - Dec 2022 · 11 mos, India, Cloud Engineering (Platform & Services), Site & Cloud Reliability Engineering, Cyber Security (Cloud Security, VAPT, InfoSec) for all BYJU’s group of companies. Entire BYJU's group, Technology BU - This BU is responsible for delivering ed-tech requirements by making sure scalability, high-availability, performance, and operability issues are addressed beforehand and support the multi-billion dollar business with great engagement with the Sciences and Product team starting from proof of concept to actual implementation focusing on every detail related to non-functional areas. Site Reliability, Cloud Engineering & Security is the key function that drives all global infrastructure delivery & engineering, cloud governance and enablement, data governance, and cloud spend CoE, horizontally across the entire business.

Director Production Engineering, Cloud Engineering and Site Reliability - Digital Experience at Adobe, Feb 2017 - Feb 2022 · 5 yrs 1 mo, Bengaluru, Karnataka, India, Responsible for Digital Experience Cloud Engineering, Site Reliability, Managed Services, and Security Engineering. This includes ensuring the delivery of our cloud-hosted solutions, from the Public Cloud, and Data Center up to the application delivery. Extensive experience in cost management of a SaaS/Cloud model (P&L, COGS, Gross Margin), DC operations, public cloud (AWS/Azure) management, architecture, elastic infrastructure, and critical service delivery components, including incident, change, and problem management. Experienced in dealing with a strong technical staff and bridging to Sr. Business Leaders and customers. Built a team (120+) to scale from a single location to over 600 personnel, distributed across the globe to provide 24/7/365 technology services.

Head of Production Engineering (Sr. Director) - Office of CTO at Ola Cabs at Ola (ANI Technologies Pvt Ltd), Jan 2015 - Feb 2017 · 2 yrs 2 mos, Bengaluru Area, India, Started from ground Zero and set up a strong engineering team of 300+ to operate OLA at scale, established Infrastructure Engineering, Site Reliability Engineering, and Data platform teams to manage complete infrastructure, and cost management of a SaaS/Cloud model (P&L, COGS, Gross Margin). Various key initiatives and strategies driven from ideation to implementation, AWS, AZURE strategic partnership, cost efficiency, e2e automation across reliability, and product deliveries are just a few of them among various other key achievements.

Sr. Engineering Manager (Production & Infrastructure Engineering) - Data Platform at InMobi, Oct 2011 - Dec 2014 · 3 yrs 3 mos, Bangalore, Part of core engineering leadership & management team. Managing an awesome team working on InMobi's core Data & User Platform. This group has been managing a highly scalable DATA system, Data Management & Processing Platform 'Falcon’, ‘Conduit' which is now Apache Incubator Projects. And process entire InMobi data using Hadoop eco system with massive infrastructure and manage production Engineering / DevOps projects. Working on thrilling challenges around designing and running systems that work at incredible scale (petabyte scale data, 10 billion+ of events per day and 600+ million monthly users) across multiple data centers, massive Hadoop / HBASE clusters. Working closely with core development, product and business group for customising solutions on Infra/operations side and deliver really tight SLAs keeping high profile consumers like king.com, EA Sports, Samsung and many more. Key focus Areas: - Big Data platform for massively large-scale data processing (batch & stream). - Manage massive Hadoop and HBASE clusters across various co-locations and ensuring cluster caters the data processing needs. - Involve from the first day of development phase, work on performance benchmarking analysis, operability, and production readiness analysis till production implementation and post-production operations. - Keeping an HAWKEYE on production issues, perform the pattern / behavior analysis and have appropriate corrective measures and come up with remediation. - Deep understanding of system and regular check on capacity analysis and work on capacity planning. - Unified Big Data Analytics Platform to support multiple analytics use-cases (batch, real-time, ad-hoc) Leveraging right technologies and consistent innovations in the Hadoop & eco-system. - Production engineering of User platform, which is building user behavioral & intent profiles and leveraging these user insights in ad relevance prediction models and audience targeting.

Education

Executive Mgmt, Emerging Leadership Modules, Indian Institute of Management Bangalore

PGDIM, Information Management, University of lucknow