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Summary

Data Engineer with 3+ 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, Terraform, Airflow, Snowflake, Databricks, dbt, Fivetran
  • Programming Languages: Python, SQL, Ruby, JavaScript, Scala
  • Data Engineering: 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

Guild
April 2023May 2024

Data Engineer II, Data & AI Platforms

  • Analyzed and optimized cloud costs using AWS tools, identifying cost-saving opportunities and optimizing resource allocation.
  • 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.
  • Designed and implemented a call transcription pipeline for member calls, streamlining analysis and reporting processes.
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

  • Completed a 9-month full-time Backend Engineering program at Turing School, specializing in Ruby, Rails, and ActiveRecord, with a focus on MVC/RESTful design principles and Test Driven Development.
  • Developed scalable, maintainable software solutions through multiple group projects using Ruby on Rails and PostgreSQL, demonstrating effective collaboration.
  • Served on the Student Leadership Committee, representing the cohort and contributing to the program's success.
Metropolitan State University of Denver
20132017

Bachelor of Science, Mathematics