Download PDF

Summary

Data Engineer with 4+ years of experience in developing and optimizing data solutions using AWS, Snowflake, Airflow, and Terraform. Skilled in designing scalable ETL workflows, managing cloud infrastructure, and implementing data security measures. Experienced in collaborating with cross-functional teams to deliver innovative data products and foster a data-driven culture. Passionate about using cutting-edge technologies to solve business problems and enhance user experiences.

Skills

Technical
  • Data Platforms & Tools: AWS, GCP, Terraform, Airflow, Snowflake, BigQuery, Databricks, dbt, Fivetran, Tableau
  • Programming Languages: Python, SQL, Ruby, JavaScript, Scala
  • Data Engineering: End to End Modern Data Stack Ownership, Data Pipeline Development, Data Warehouse Management, Data Contract Enforcement, Data Mesh, Data Vault, ETL/ELT Processes
  • Machine Learning & AI: MLOps, AI Project Implementation
Additional Skills
  • Version Control: Git
  • CI/CD: GitHub Actions, Jenkins
  • Containerization: Docker, Kubernetes, EC2
  • Monitoring and Logging: DataDog, Splunk, CloudWatch
  • Database Management: Data Modeling and Design
  • Agile Workflow: JIRA, Shortcut

Work Experience

CodePath.org
Sept 2024Sept 2025

Data Engineer

  • Architected and deployed a modern cloud data stack leveraging BigQuery (via Terraform), dbt, Fivetran, and Tableau, creating a scalable foundation to support a 10x increase in student growth goals.
  • Developed and productionized an LLM-based classification system (OpenAI) to analyze LinkedIn data, improving accuracy of student job-outcome reporting and enabling downstream analytics for program effectiveness.
  • Built reverse ETL pipelines to power university-facing sales dashboards and tools, delivering real-time student/job placement insights that supported external partner engagement and contract renewals.
  • Established data governance and reliability practices (dbt tests, monitoring, and data contracts) to ensure high-quality data for analysts, data scientists, and external reporting.
  • Partnered with cross-functional teams (product, engineering, and leadership) to translate ad-hoc data needs into sustainable pipelines and dashboards, fostering a data-driven culture across the organization.
Guild
April 2023May 2024

Data Engineer II, Data & AI Platforms

  • Contributed to the re-architecture of Snowflake's role-based access control (RBAC), executing a complete overhaul through Terraform to enhance data access management.
  • Spearheaded the implementation of data masking techniques for personally identifiable information (PII) in Snowflake, fortifying data privacy and compliance.
  • Architected and developed a comprehensive data contract pipeline infrastructure, leveraging Lambda functions and Python-based Great Expectations for data validation.
  • Pioneered the setup of a Databricks project tailored for data scientists, facilitating advanced machine learning modeling.
  • Implemented monitoring and alerting systems using AWS CloudWatch, Splunk, and Datadog, ensuring proactive issue identification, debugging, triage, and resolution.
Guild
May 2021April 2023

Data Engineer I, Data Engineering

  • Designed and optimized ETL workflows using Apache Airflow, leveraging Snowflake for seamless data integration and analytics, resulting in improved data processing efficiency by 30%.
  • Orchestrated Docker containers on EC2, engineered CI/CD pipelines, and automated cloud infrastructure provisioning with Terraform, reducing deployment time by 50% and ensuring consistent and reliable application delivery.
  • Managed AWS resources (EC2, S3, RDS, Lambda) and implemented robust data security measures, including IAM policies and encryption, ensuring the confidentiality and integrity of sensitive data.
  • Collaborated with cross-functional teams, providing training on data processes and best practices, fostering a culture of data-driven decision making, and ensuring alignment across departments.

Education

Turing School of Software and Design
July 2020March 2021

Backend Engineering

7-month, full-time Backend Engineering program focused on MVC/RESTful design and Test-Driven Development using Ruby, Rails, and PostgreSQL

Metropolitan State University of Denver
20132017

Bachelor of Science, Mathematics