Aarvind Singh Pal profile photo 1 on Tal

Aarvind Singh Pal

Engineering Leader | Data Cleanroom & CDP Architecture | Scaling Global Engineering | AI-Driven Engineering Productivity

Bengaluru

17+ years of work experience

Epsilon India
Oct 20206 yrsPresent

Hybrid

Own architecture, roadmap, and delivery for Epsilon's Data Cleanroom and CDP — privacy-safe data collaboration, identity resolution, and audience activation for 40+ enterprise customers. - Lead Engineering Organization spanning backend, frontend, DevOps, and QA in India and the USA - Scaled the platform to 4.5B+ records/year (1B+ per single job, 60M+ on peak days) at 99.9% availability on Delta Lake, Spark/Databricks, Kafka, and Airflow - Took ZARA (AI-native release automation) from hackathon to production: 6 products, 1,300+ pipelines, 2 days → 4 hours upgrade time - Own multi-cloud strategy — led the AWS→Azure data-plane design personally - Tripled deployment velocity and cut MTTR 40% through CI/CD and Terraform modernization
Epsilon India
Feb 20191 yr 8 mosSep 2020

On-site

ITC Infotech
Apr 20144 yrs 11 mosFeb 2019

Bengaluru Area, India

>Founded engineering of ZEAS.ai, an AWS-based analytics and ML platform for threat detection. >Delivered production-ready ML pipelines and APIs that enabled 4 new enterprise deals and recurring SaaS revenue. > Built and scaled a full-stack engineering team from scratch; introduced cloud-first architecture practices and DevSecOps automation.
Symphony Teleca
May 20121 yr 11 mosMar 2014

Bangalore

> Re-architected Retail Performance Management product with analytics integration (Tableau), improving client adoption and usability. > Modernized architecture with distributed processing and improved scalability while reducing technical debt.
Tavant Technologies
Dec 20101 yr 5 mosApr 2012

Bangalore

>Designed AWS-based retail modules for MyHabit.com (an Amazon venture), enhancing performance and scalability. > Collaborated with Yahoo and AWS teams on platform integration and feature optimization.
iSOFT
Sep 20082 yrs 4 mosDec 2010

Bengaluru Area, India

Worked as individual contributor.

Aarvind’s AI Stack

cursor
cursor

Education

Allahabad Agricultural Institute

Master of Computer Applications - MCA, Master in computer application

Allahabad Agricultural Institute

20053 yrs2008

D.A.V Inter College Banda

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Headline

Engineering Leader | Data Cleanroom & CDP Architecture | Scaling Global Engineering | AI-Driven Engineering Productivity

About

I lead engineering for Epsilon's Data Cleanroom and Customer Data Platform — the systems that let advertisers, publishers, and brands collaborate on audience data safely, at scale, without moving raw PII around. Today that means owning architecture, roadmap, and delivery for a platform processing 4.5B+ customer records a year (single jobs scanning 1B+ records, peak days exceeding 60M) for 40+ enterprise customers at 99.9% availability — built on Delta Lake, Spark on Databricks, Kafka, and event-driven microservices on AWS and Kubernetes. I run a engineer organization in India and the USA, having scaled the team from 20 to 70+ at peak. I stay hands-on: I've personally owned the multi-cloud architecture (AWS→Azure data planes), and I led ZARA, our AI-native release automation framework, from a hackathon prototype to production use across 6 products and 1,300+ pipelines — cutting production upgrade time from 2 days to 4 hours. I'm equally comfortable in a design review, a QBR with the business, or mentoring the next generation of engineering managers. Right now I'm focused on AI-driven engineering productivity — using Cursor, Claude, and Amazon Q Developer to change how fast and how safely my teams ship.

Location

Bengaluru

AI stack

cursor

Work experience

Senior Engineering Manager at Epsilon India, Oct 2020 - Present · 6 yrs, Hybrid, Own architecture, roadmap, and delivery for Epsilon's Data Cleanroom and CDP — privacy-safe data collaboration, identity resolution, and audience activation for 40+ enterprise customers. - Lead Engineering Organization spanning backend, frontend, DevOps, and QA in India and the USA - Scaled the platform to 4.5B+ records/year (1B+ per single job, 60M+ on peak days) at 99.9% availability on Delta Lake, Spark/Databricks, Kafka, and Airflow - Took ZARA (AI-native release automation) from hackathon to production: 6 products, 1,300+ pipelines, 2 days → 4 hours upgrade time - Own multi-cloud strategy — led the AWS→Azure data-plane design personally - Tripled deployment velocity and cut MTTR 40% through CI/CD and Terraform modernization

Engineering Manager at Epsilon India, Feb 2019 - Sep 2020 · 1 yr 8 mos, On-site

Lead Consultant - Data Platform at ITC Infotech, Apr 2014 - Feb 2019 · 4 yrs 11 mos, Bengaluru Area, India, >Founded engineering of ZEAS.ai, an AWS-based analytics and ML platform for threat detection. >Delivered production-ready ML pipelines and APIs that enabled 4 new enterprise deals and recurring SaaS revenue. > Built and scaled a full-stack engineering team from scratch; introduced cloud-first architecture practices and DevSecOps automation.

Technical Lead at Symphony Teleca, May 2012 - Mar 2014 · 1 yr 11 mos, Bangalore, > Re-architected Retail Performance Management product with analytics integration (Tableau), improving client adoption and usability. > Modernized architecture with distributed processing and improved scalability while reducing technical debt.

Technical Lead - Yahoo | Amazon at Tavant Technologies, Dec 2010 - Apr 2012 · 1 yr 5 mos, Bangalore, >Designed AWS-based retail modules for MyHabit.com (an Amazon venture), enhancing performance and scalability. > Collaborated with Yahoo and AWS teams on platform integration and feature optimization.

Software Engineer - Health domain at iSOFT, Sep 2008 - Dec 2010 · 2 yrs 4 mos, Bengaluru Area, India, Worked as individual contributor.

Education

Master of Computer Applications - MCA, Master in computer application, Allahabad Agricultural Institute

D.A.V Inter College Banda