Katie Mills
Cary,NC
Summary
Data Engineer with 6+ years of experience designing and maintaining scalable data pipelines and analytics platforms. Strong background in SQL, Python, cloud data platforms, and data modeling, with hands-on experience in dbt, Airflow, and modern ELT architectures. Seeking Senior Data Engineer roles with increased ownership and technical leadership.
Overview
7
7
years of professional experience
Work History
DATA ENGINEER
MARKERR
05.2022 - Current
- Design and maintain end-to-end data pipelines using SQL, Python, dbt, Airflow, BigQuery, and Databricks.
- Develop analytics-ready data models supporting reporting and advanced analytics use cases.
- Implement data quality checks, schema validation, and monitoring to ensure reliable datasets.
- Collaborate with product, analytics, and business stakeholders to translate requirements into scalable data solutions.
- Leverage AI-assisted development tools to improve pipeline development speed, debugging, and documentation quality.
- Optimize pipeline performance through incremental processing and query tuning.
DATA ENGINEER
INSPIRATO
08.2021 - 05.2022
- Built and maintained Azure-based ETL pipelines supporting analytics and reporting.
- Developed proofs of concept to validate new data solutions.
- Implemented data quality checks to ensure reliable datasets.
- Collaborated in Agile planning and delivery of data initiatives.
DATA ENGINEER
INT DATA
06.2019 - 08.2021
- Enhanced data quality of healthcare datasets using AWS and Docker.
- Designed scalable ETL pipelines for enterprise healthcare data lake solutions.
- Collaborated with architects to ensure HIPAA compliance in data platforms.
- Optimized data ingestion and transformation processes with PySpark workflows.
- Implemented Kafka for reliable data streaming and messaging services.
Education
BS in Software Engineering -
LOYOLA UNIVERSITY CHICAGO
Chicago, IL05-2019
Skills
- Data Engineering & Modeling: ETL/ELT pipelines, analytics engineering, dimensional modeling (fact & dimension tables), incremental processing, data quality, schema validation
- Programming & Querying: SQL (advanced), Python, PySpark
- Data Platforms & Warehouses: BigQuery, Databricks, Azure Data Lake, Azure Databricks
- Orchestration & Transformation: Airflow, dbt
- Cloud & Infrastructure: Azure; AWS (Lambda, S3, IAM, cross-account role access); Docker
- Streaming & Messaging: Kafka
- Data Quality & Observability: Testing frameworks, data validation, monitoring, anomaly investigation
- Version control and CI/CD expertise
- AI-Assisted Development: AI tools for SQL/Python generation, debugging, documentation, and pipeline optimization
- Security & Compliance: HIPAA-compliant data handling, secure data access patterns
- Proficient in dbt data modeling
- Performance tuning
Timeline
DATA ENGINEER
MARKERR
05.2022 - Current
DATA ENGINEER
INSPIRATO
08.2021 - 05.2022
DATA ENGINEER
INT DATA
06.2019 - 08.2021
BS in Software Engineering -
LOYOLA UNIVERSITY CHICAGO