Work experience
Senior Engineering Manager at LG Ad Solutions, Apr 2025 - Present · 1 yr 4 mos, Bengaluru, Karnataka, India, - Leading efforts on the migration of on-prem Hadoop, Spark, Kafka, and Elasticsearch-driven data-compute ecosystem to Databricks-based cloud infra. - Coaching and mentoring sub-teams rebuilding data pipelines, improving cross-region collaboration. - Contributing to defining modern data platform and infra. Focused on building CCPA/GDPR compliance, Data Governance and Data Observability.
Engineering Manager at LG Ad Solutions, Apr 2023 - Jun 2025 · 2 yrs 3 mos, Bengaluru, Karnataka, India, - Leading a high-performing team of 9 engineers across data and backend systems, driving mentorship, performance reviews, and cross-functional roadmap execution. - Scaled an Elasticsearch cluster from 30 to 75 nodes with comprehensive monitoring and automated detection of SSD degradation. - Optimized a Spark Streaming pipeline, increasing throughput from 1.4M to 3M events per 250 seconds and improving ingestion latency from 18 hours to real-time. - Improved SLAs and eliminated critical production incidents by redesigning pipelines, tuning retries, and scaling infrastructure. - Led the development of revenue data pipelines to automate financial and invoicing flows across product lines. - Delivered a high-throughput pixel enhancement server (25K QPS) using Golang, Redis, and Kafka, supporting real-time partner reporting. - Contributed to the hiring process by conducting 20+ interviews, including data structures, system design, and cultural fit evaluations.
Technologist at LG Ad Solutions, Jul 2019 - Mar 2023 · 3 yrs 9 mos, Bengaluru, Karnataka, India, - Built and maintained ETL pipelines processing over 4TB of data per day, contributing to $138M in annual revenue for the programmatic ad business. - Developed real-time data pipelines using Apache Spark, Kafka, Elasticsearch, and Filebeat, reducing data latency from hours to seconds. - Designed and implemented a distributed fan-out HTTP service handling 100K RPS input and 1M RPS output, improving SSAI efficiency by 20%. - Launched cloud infrastructure (EC2, ELB, security groups, subnets) on AWS for an in-house SSP; supported load testing and pixel infrastructure. - Refactored and stabilized existing Pixel and ACR pipelines, fixing data gaps and improving data quality. - Built metadata crawlers and ranking pipelines for OTT platforms like Netflix, Prime Video, and Zee5, serving 100K+ connected TVs across India.
Profile highlights
I'm the person in every team who…: Who shows High Agency, Extreme ownership, Drive technical decision, Build consensus, Build Vision, Regularly reflect on what I do.
What's hard for others but easy for me…: Sitting and digging into code for long hours. Building great relationships across Engineering.
My hot take about working with AI is…: You still need to understand code till one layer goes down. Use for augmentation and refinement, but not intelligence replacement.
The role I'd take a 20% pay cut for: Result in significant increase in ownership for the outcomes, should reflect for both financially and workwise. Has to be a potentially rocketship.
