Staff Analytics Engineer · San Francisco

Gregory
Spathias

I build high-leverage analytics infrastructure and AI-powered sales intelligence.
At LinkedIn, I focus on data foundations and NEON-scale tooling — from core table strategy and pipeline performance to LLM agents that put insights in front of sellers.

About

I'm a Staff Analytics Engineer with 7+ years building data products and analytics systems that revenue teams actually use. After years owning NEON scaled insights and programs like ABM and performance measurement, I now sit on Tooling & Data Foundations — improving how our analytical stack performs at scale and how sellers get answers without bottlenecks.

At LinkedIn, I've designed and shipped data products across the full GTM stack: from Trino-based pipeline architecture and incremental loading patterns to a from-scratch AI agent platform for enterprise sales intelligence.

I care about building things that actually get used — which means obsessing over the last mile between a clean pipeline and a decision that changes behavior.

AI / LLM
LangChain LangGraph RAG architectures Streamlit OpenAI API
Data Engineering
Trino / Presto dbt Airflow Spark
Languages
Python SQL
Experience
LinkedIn
Jul 2025 — present
Staff Analytics Engineer, Marketing Solutions
  • Own the analytics engineering roadmap for LMS GTM insights — scalable Spark and Airflow pipelines and data models for Sales, Finance, Product, and Ops.
  • Raised platform reliability from 80% to 92% by redesigning foundational tables, optimizing pipelines, and tightening quality checks across 60+ enterprise analytics tools.
  • Built self-serve data layers, dashboards, and automated GTM narratives used by 2,000+ internal users.
  • Implemented a data-tiering framework with SLAs and on-call rotation for Tier-0 datasets; established canonical datasets and metric layers unifying logs, GTM, and first-party data.
Spark Airflow Azkaban dbt Python SQL GTM Analytics
LinkedIn
Feb 2025 — Jul 2025
Senior Data Engineer
  • Analytics engineering and data foundations for Marketing Solutions GTM insights — NEON-scale pipelines, core tables, and performance work so seller-facing analytics stay fast and dependable.
  • Partnered with platform and GTM teams on reliability, cost-aware SQL, and optimization for high-traffic internal analytics tools.
Spark Airflow Trino Python SQL Data foundations
LinkedIn
Feb 2024 — Jan 2025
Senior Insights Program Manager

Built and scaled GTM tools for Sales and Marketing teams to showcase ROI of advertising on LinkedIn.

  • Opportunity Influence Analysis — data-ingestion tooling so customers attribute closed-won opportunities to marketing efforts on LinkedIn.
  • Account Based Marketing (ABM) — tools to set up, monitor, experiment with, and demonstrate ROI for ABM campaigns.
  • QBR suite — tools that automate LinkedIn sellers’ customer QBRs.
NEON CIQ GTM tools Python SQL
LinkedIn
Aug 2021 — Feb 2024
Insights Program Manager
  • Built and scaled GTM analytics tools used by Sales and Marketing to prove advertising ROI — spanning measurement, campaign insights, and seller workflows in NEON.
  • Shipped improvements across ABM, QBR, and opportunity-attribution experiences; partnered with the field on adoption, roadmaps, and feedback-driven prioritization.
  • Promoted to Senior Insights Program Manager for sustained program impact.
NEON Product analytics Stakeholder management Python SQL
LinkedIn
Nov 2019 — Jul 2021
Insights Analyst
  • Leveraged data-driven insights with LinkedIn’s largest marketing clients in the technology industry (global strategic accounts): campaign setup, experiments, measuring ROI, and monitoring ad product performance.
  • Promoted to Senior Insights Analyst after 1.5 years.
Data analysis GTM Strategic accounts
Liftopia
Oct 2017 — Nov 2019
Manager, Analytics
  • Managed a team of three; scaled GTM analytics and automated annual business reviews for 180+ partners.
  • Drove Looker adoption and built Python/SQL Airflow jobs to catch pricing issues, cutting discrepancies by 25%.
Looker Airflow Python SQL
Triage Consulting Group
Jul 2015 — Sep 2017
Senior Associate Consultant
  • Led revenue-cycle projects for hospitals — scaled audits recovered $8M+ in underpaid claims.
Analytics Healthcare
Projects
01
NEON Scaled Customer Insights Agent

An LLM-powered sales intelligence experience built for LinkedIn's enterprise sales org, alongside a broad NEON scaled-insights portfolio. Architected a five-step agent flow (Query → Discovery → Insights → Analyze → Export) with account memory persistence so sellers get account-level answers without waiting on analysts.

LangChain · Streamlit · Python · LLM · RAG
02
GTM Event Attribution Pipeline

End-to-end classification pipeline for event-related ads at LinkedIn Marketing Solutions. Designed an extensible schema and LEFT ANTI JOIN incremental loading pattern in Trino, powering events crediting and cleaner revenue attribution — built for automation and accuracy as the business scales.

Trino · SQL · Python · dbt · Airflow
03
NEON performance & data foundations

Hands-on work to make large-scale insight tooling faster and more dependable: GenAI-assisted optimization pilots on the heaviest NEON tools, measurable runtime improvements on core workloads (including large wins on measurement and multi-messaging-style pipelines), and strategic investment in shared tables — e.g., audience and engagement surfaces that unlock many downstream reports. Paired with operational excellence on CIQ/Merlin reliability and clear PRDs when bringing cross-functional partners along.

Trino · SQL · Python · GenAI tooling · Platform partnership
Writing
Building production LLM agents at enterprise scale — lessons from NEON coming soon
Why LEFT ANTI JOIN is the right incremental loading pattern for most pipelines coming soon
Designing success metrics for AI-powered internal tools coming soon

Follow on LinkedIn for updates when articles publish.

Let's build something worth building.

I'm always interested in conversations about analytics engineering, data foundations at scale, AI for internal tools, and GTM intelligence. Whether you're working on something ambitious or just want to compare notes — reach out.