Open to opportunities

Kevin Ross

@kevinross

Staff Data Engineer specializing in real-time data platforms, lakehouse architecture, and experimentation metrics at scale.

United States

Message

What I'm looking for

I’m looking for a role where I can modernize and scale real-time, governed data platforms—partnering with ML, product, and analytics to deliver trustworthy experimentation and decisioning for high-traffic systems.

I’m a Staff Data Engineer with 10+ years of experience building large-scale batch and streaming data platforms across e-commerce, healthcare, experimentation, and retail. I focus on petabyte-scale lakehouse architectures, real-time event processing, experimentation platforms, and cloud-native analytics ecosystems across AWS, Azure, and GCP.

At DoorDash, I built the Real-Time Experimentation & Metrics Platform that owns the Kafka → Flink → Pinot → Snowflake data plane. It processes 80B–110B+ experiment exposure events/day with sub-60 second freshness SLAs and 99.99% event delivery reliability, helping teams iterate faster across ranking, pricing, and fulfillment systems.

I lead data modernization by designing a centralized Metrics Layer with Dagster, dbt, Snowflake, PySpark, and Flink—standardizing 1,500+ reusable metrics and attribution models to reduce experiment analysis turnaround time by 10x. I also deliver production-grade governance and observability (Lake Formation, OpenLineage, Monte Carlo, Great Expectations, Data Catalog) and operational performance improvements through streaming pipelines, infrastructure-as-code, and mentoring—plus earlier work delivering HIPAA-regulated healthcare ingestion and CDC pipelines on Azure and near real-time personalization and CDC on GCP.

Experience

Work history, roles, and key accomplishments

Current

Staff Data Engineer

Current

DoorDash

Mar 2023 - Present (3 years 4 months)

Owned DoorDash’s Real-Time Experimentation & Metrics Platform, building a Kafka to Flink to Pinot to Snowflake data plane for high-volume experiment exposure processing with strict freshness and delivery SLAs. Led modernization of the metrics layer and lakehouse governance/observability, partnering with ML and platform teams to support production experimentation and streaming analytics.

Lead Data Engineer

CVS Health

Oct 2020 - Feb 2023 (2 years 4 months)

Led engineering for the COVID-19 Testing & Vaccination Data Platform, delivering real-time healthcare ingestion and reporting pipelines in HIPAA-regulated environments. Designed lakehouse modeling patterns and built governance/observability to improve reporting quality and audit readiness.

Senior Data Engineer

Best Buy

Jan 2020 - Sep 2020 (8 months)

Modernized Best Buy’s real-time analytics platform on Google Cloud by building streaming and CDC pipelines for near real-time personalization and Customer_360 initiatives. Optimized ingestion latency and BigQuery performance to reduce costs and improve dashboard response times.

Google Cloud Pub Sub BigQuery Kafka Debezium Pyspark BigQuery Storage Write API Docker Upsert Processing Partitioning Clustering Materialized Views Inventory Apache Kafka

Data Engineer

Best Buy

Jul 2018 - Dec 2019 (1 year 5 months)

Contributed to migrating legacy Teradata/Hadoop systems to a cloud-native BigQuery lakehouse architecture on GCP. Built batch ETL pipelines, dimensional models, and automated orchestration/CI/CD workflows to improve pipeline SLA adherence and reduce manual reporting effort.

Cloud Storage Hadoop Hive BigQuery SQL Terraform Kubernetes Jenkins Tableau Power BI Cloud Composer Pyspark Dimensional Models Denormalized Reporting Tables CI CD Orchestration Google Cloud Storage

Data Analyst

eBay

Oct 2016 - Jun 2018 (1 year 8 months)

Supported the launch of eBay’s “Interests” personalized shopping feed by building behavioral analytics pipelines for clickstream and search events. Developed streaming analytics and data validation/monitoring to reduce latency and improve trust in experimentation dashboards.