CV

Matt La Rue

Colorado Springs, Colorado · Email · LinkedIn · GitHub

Profile

Data engineer and consulting lead who builds reliable data pipelines and useful analytics. I lead a 15-person delivery team while remaining hands-on with Python, SQL, Google Cloud, Airflow, Databricks, and Looker. My work spans e-commerce, digital analytics, supply chain, and data platforms.

Experience

Lovelytics (including Nousot, now part of Lovelytics) · Lead Consultant; previously Senior Consultant and Advanced Practitioner
October 2024–present

• Lead an onshore and offshore team of 15 for a global beauty company, coordinating delivery across e-commerce, analytics, supply chain, and data platform projects. Work directly with senior engineering and data science leaders on priorities and decisions.
• Led data migration for a Shopify replatforming across 11 brand-region sites. Kept historical reporting consistent through each cutover and built multi-brand, multi-region data marts and Looker dashboards as the work expanded.
• Oversee GA4 data and reporting for 15+ brands across roughly 300 brand-region sites. Resolved critical data issues and built a cross-brand channel attribution dashboard to replace deprecated reporting.
• Tuned Airflow workloads to reduce BigQuery slot hours and cost by more than 20%. Helped benchmark a move to Databricks on Google Cloud and improve delivery practices.
• Developed human-reviewed data validation workflows and led a proof of concept for an AI-assisted Power BI-to-Looker migration. I have recently started contributing technical input to presales conversations.
• Mentored engineers, helped teammates take ownership of maintenance, and established a steady delivery cadence across workstreams.

Gordon Food Service · Data Engineer
April–October 2024

• Built a Python and Bash CDC replay tool for data recovery and a query-monitoring notification service using Python, Pub/Sub, and Cloud Run.
• Led a cloud cost initiative that saved more than $12,000 annually. Contributed to Kafka pipelines moving tens of terabytes of production data monthly and helped manage a data lake with more than 100 sources.
• Managed Google Cloud infrastructure and IAM policies with Terraform and Dataplex, and supported a GA4 migration and operational dashboards.

KEH · Data Engineer
June 2022–March 2024

• Led a product information management overhaul for 100,000 SKUs, building data pipelines and integrations for a richer, more reliable product model.
• Helped implement RudderStack customer data collection for more than 20 million monthly events in BigQuery. Used segmentation to inform marketing decisions and presented findings to the CEO and marketing leadership.
• Met one-on-one with KEH’s CEO for mentorship, gaining direct insight into the business and its priorities.
• Built Python and Google Cloud models for price and inventory optimization using demand, seasonality, and price elasticity.
• Led the move from Universal Analytics to GA4, built more than 20 Qlik Sense dashboards, and developed batch and streaming analytics pipelines.

Datava · Software Development Intern
August–December 2021

• Built an embedded workflow application with JavaScript, HTML, and PHP in collaboration with stakeholders and an agile team.

Education and certifications

Colorado School of Mines · BS, Computer Science, 2022
Earned: Databricks Generative AI Engineer
In progress: Google Cloud Professional Data Engineer; Databricks Certified Data Engineer Professional

Skills

Engineering: Python, SQL, PySpark, Bash, ETL, CDC, CI/CD, Git
Cloud and data: Google Cloud, BigQuery, Databricks, Airflow, Kafka, Pub/Sub, Cloud Run, Cloud Functions, Terraform
Analytics and integration: Looker, GA4, Power BI, Qlik Sense, RudderStack, GraphQL