Kadambari Chheda

What I'm looking for

I’m looking for an Analytics Engineering role where I can combine technical problem-solving with business impact. I enjoy owning projects end-to-end, building scalable data models and pipelines, improving data architecture and quality, and partnering with stakeholders to turn complex data into trusted, actionable solutions.

I’m an Analytics Engineer with 6+ years of experience across analytics and data, primarily in digital media. My background spans data and product analytics through analytics engineering, giving me a strong understanding of both how businesses use data and how the underlying data needs to be built, modeled, and maintained.

I enjoy working across the full data lifecycle and serving as a bridge between Data Engineering, Product, Analytics, and business stakeholders—turning complex business questions into reliable, scalable, and accessible data products.

Technical & Analytics Engineering

Data engineering: SQL, dbt, Snowflake, BigQuery, Airflow, DLT, Airbyte, Fivetran, ETL/ELT, dimensional modeling,backfills

BI & semantic layers: Looker, LookML, Omni, Power BI, Tableau, semantic modeling

Development, AI & quality: VS Code, GitHub, Codex, dbt MCP, Hermes agent (dbt incident investigation),

dbt tests, Elementary, freshness monitoring, validation, documentation, Python, R

Data platforms & sources: Google Analytics 4 (GA4), Google Ad Manager (GAM), DoubleVerify, Permutive, Selesforce,SpringServe, Iterable, Google Search Console (GSC), Facebook, YouTube, Snapchat, JW Player, Iconik, Level Up

Experience working across Raw → Operating → Modeled data architectures, from source ingestion through curated business-ready datasets and analytics

BI, Looker & Self-Service Analytics

Extensive hands-on experience developing and maintaining Looker Infrastructure. Go-to resource for analysts for Looker/Omni development, troubleshooting, reporting enhancements, and complex data questions

Experience optimizing queries and dashboards and supporting reporting and platform migrations

Lead training and knowledge-sharing to help analysts confidently use data and BI tools independently

Digital Media & Data Expertise

Advertising & Monetization: Google Ad Manager (GAM), DoubleVerify, Permutive, SpringServe, advertising telemetry, bidding and pricing data

Audience & Traffic: Google Analytics / GA4, traffic and engagement analytics

SEO: Google Search Console

Video: YouTube, Facebook, Snapchat, JW Player, Iconik

Subscriptions & Newsletters: subscription analytics, Iterable

Experience across Editorial, Product, Audience, Revenue, Advertising, Marketing, Subscriptions, SEO, Content, and User Engagement.