Summary

Principal Data Engineer with 14+ years of experience designing and operating data platforms for both customer-facing products and large-scale analytics. Experienced in leading greenfield systems, driving architectural decisions, and working cross-functionally to deliver reliable, scalable data solutions in ambiguous environments.

Key Systems & Impact

Unify Data Platform (Living Security)

  • Designed multi-tenant architecture for secure, scalable data processing
  • Built serverless pipelines in AWS handling variable workloads and scaling constraints
  • Selected and implemented core technologies (Postgres, Airflow, dbt)
  • Reduced AWS costs by 5–10% through targeted optimizations
  • Owned release process, including QA coordination and stakeholder communication

Distributed ETL Framework (WarnerMedia)

  • Spark-based framework adopted across team, used in 90% of pipelines
  • Improved reliability and reduced time to build new pipelines

Experience

Principal Data Engineer, Living Security: 2021 — Present

  • Tech lead for data and backend systems on Unify, a customer-facing cybersecurity product and primary revenue driver
  • Designed and built data platform from scratch, enabling multi-tenant analytics and processing
  • Collaborated with product managers, data scientists, and domain experts to define system requirements and data models
  • Built and operated AWS serverless pipelines, addressing scaling limitations and cost challenges
  • Solved multi-tenant data isolation challenges for secure customer data handling
  • Improved performance of Postgres-backed systems powering user-facing features
  • Identified and executed cost optimization strategies resulting in ~5–10% AWS cost reductions
  • Owned release lifecycle: QA coordination, production readiness decisions, and release communication
  • Led and mentored a team of 3 engineers through design guidance and code reviews

Technologies Used

  • Orchestration: Apache Airflow
  • Query engines: AWS Athena, Postgres, DynamoDB
  • Execution: AWS Lambda, Step Functions, Elastic Container Service
  • Tools: dbt, SQLAlchemy, cdk

Senior Data Engineer, Warner Bros.: 2017 — 2021

  • Developed large-scale data warehouse supporting ~100 pipelines and tens of GBs of daily processing
  • Built flexible Spark ETL framework used by ~10 engineers across majority of pipelines
  • Drove adoption of Airflow across multiple teams, establishing best practices and reusable components
  • Owned data quality and monitoring systems including dashboards, alerting, and incident response
  • Reduced time to resolution for pipeline failures and improved trust in analytical data
  • Collaborated with analysts and data scientists to align data systems with business needs
  • Mentored junior engineers through hands-on support and design discussions

Technologies Used

  • Snowflake
  • Redshift
  • Python
  • Apache Airflow
  • AWS: S3, EMR, Lambda, Redshift

Data Engineer, Leaf Group: 2017

  • Created Python API integrations for third party data sources.
  • Designed and maintained aggregate tables to speed up reporting queries.
  • Managed ETL jobs that powered reports sent to upper management.

Technologies Used

  • Redshift
  • Python

Data Engineer, Loot Crate: 2015 — 2017

  • Created Python ETL workflows for ingesting data into Redshift data warehouse.
  • Built unified Python library for ETL tasks.
  • Worked with data architect to implement data lake on Google's cloud platform.
  • Provided documentation and data modeling insights to data analysts.

Technologies Used

  • BigQuery
  • Redshift
  • Python
  • Apache Airflow
  • Apache Nifi
  • GCP: GCS, DataProc, BigQuery
  • AWS: S3, Lambda

Developer, Creators: 2012 — 2015

  • Managed and expanded large PHP-based website.
  • Developed a comprehensive content management system for all of the company's web properties.
  • Designed and implemented client-facing delivery methods.
  • Designed and implemented a range of new business websites.
  • Managed a mid-sized computer network, comprised of mostly iMacs and Windows PCs.
  • Maintained company's web servers, including dedicated and virtual machines.

Technologies Used

  • PHP
  • MySQL
  • Python
  • AWS: S3, EC2, RDS

Computer Skills

Tools

  • Airflow
  • Nifi
  • Tableau
  • Redash

Database Engines

  • Snowflake
  • Postgresql/Redshift
  • BigQuery
  • MySQL

Big Data

  • Spark (pyspark)
  • Data Lakes: S3, GCS
  • Streaming: Segment, Kinesis
  • Databricks

Operations

  • Git: Github, Gitlab, Bitbucket
  • CI/CD: Jenkins, Gitlab, Github Actions
  • Ansible
  • Datadog

Amazon Web Services

  • Database: RDS, DynamoDB, Redshift, Athena
  • Execution: EC2, EMR, Lambda, Step Functions
  • Containers: ECS, ECR, Fargate

Web Development

  • Backend: PHP, Python (Flask)
  • Frontend: HTML, JS, CSS
  • REST APIs
  • Hugo and Jekyll

Education

Bachelor of Science, Computer Science, Cum Laude

California State University Long Beach