Jainam Shah

Seattle,United States

Summary

Senior Software Engineer with 8+ years of experience building large-scale Ads measurement and attribution systems. Skilled in streaming pipelines, event-driven architectures, and privacy-compliant data platforms, collaborating with Product, UX , Solutions and ML teams to deliver reliable, high-throughput systems that drive advertiser insights and revenue impact.

Overview

years of professional experience

Work History

Senior Software Engineer

TikTok

Seattle, United States

08.2022 - Current

Developed end-to-end third-party (3P) measurement systems delivering TikTok Ads impression and exposure data to external measurement partners, enabling advertisers to compare campaign performance across publishers and fostering advertiser trust in TikTok Ads and increase Ad Spend.
Architected and launched a 0→1 Privacy-Enhanced Data Collaboration platform using Snowflake data clean rooms and AWS pipelines, enabling advertisers to query campaign measurement data without exposing sensitive publisher or advertiser information.Enabled onboarding of major advertisers including Walmart, Epic Games, and Pepsi, unlocking $50M+ in advertiser spend.
Developed E2E systems for Brand Lift, Customer Lift, and post-campaign measurement studies, aggregating campaign performance signals and securely sharing results with 3P vendors through privacy-enforced data pipelines.
Partnered with TikTok Marketing Science (TTMS) teams to deliver ACC-enriched exposure datasets (Awareness, Consideration, Conversion) for advanced attribution experiments across advertiser user journeys.
Built event-driven backend infrastructure for the Nielsen Audience Measurement SRS platform, enabling Marketing Science teams to manage campaign studies and deliver demographic reach insights (age, gender) through partners including Nielsen and iSpot.
Architected and deployed a major infrastructure revamp for iOS probabilistic attribution and modeled reporting supporting SKAN 4.0, improving attribution system reliability by >60% and enabling modeled reporting within TikTok Ads Manager.
Collaborated closely with AdsLog, experimentation platforms, and ML engineering teams to standardize data interfaces and integrate attribution pipelines across Ads measurement and ML training systems.
Revamped GDPR transparency infrastructure for Download Your Data platform and optimized DSAR data retrieval pipelines, achieving over 40% reduction in data retrieval cost per user request.
Built a 0→1 AI governance framework for TikTok ML lifecycle compliance, implementing a distributed Bloom-filter based privacy enforcement system (~100K QPS) integrated with Ads ML batch and streaming training pipelines to enforce U13 privacy compliance across Millions of training datapoints.

Software Engineer

Tableau Software (Salesforce)

01.2019 - 08.2022

Led multiple projects for connectivity layer of Tableau, enabling integration with over 100 connectors and data sources.
Migrated from monolith to service-oriented microservice deployment for onboarding new connectors and drivers to Tableau Online.
Developed open source SDK enabling database partners to author their own connectors, accelerating launch speed of new connectors by 5 times.

Software Development Engineer

Amazon

05.2017 - 01.2019

Designed systems handling ~1M QPS, aggregating signals from multiple upstream APIs to compute export eligibility decisions within 30 sec SLA.
Migrated legacy pull based architecture to event driven service oriented architecture, reducing system latency by 80%, operational overhead by 50%, and saving ~$1M annually in infrastructure costs.
Built distributed event driven export eligibility service processing products from Amazon catalog, enabling determination of international shipping eligibility.

Education

Bachelor of Science - Computer Science And Engineering

Indian Institute of Technology (IIT) Guwahati

05-2017

Skills

Programming: Go , C, Java, React, JS
Distributed & Streaming Systems: Flink, Spark, Kafka, event-driven pipelines, microservices, high-throughput backend

Ads & Analytics: Attribution systems, campaign measurement, lift studies, advertiser analytics

Accomplishments

ACM ICPC Regionals - All India Rank 69
Microsoft Code.Fun.Do Hackathon - Developed a Windows Phone Game

Timeline