Mackenzie Young

About

Senior Data Engineer with a software engineering background and hands-on experience building reliable ETL/ELT pipelines, analytics-ready data models, and enterprise data services. Experienced in SQL, Python, Airflow, dbt, cloud platforms, and governance-aware engineering for regulated datasets.

Experience

• Senior Backend / Data Engineer
  Ecolab
  Jul 2023 – Present
• Backend / Data Engineer
  Microsoft
  Aug 2021 – Jul 2023

Education

• Bachelor's Degree
  University of Michigan College of Engineering
  Computer Science · 2017 – 2021

Skills

• SQL
• Python
• MongoDB
• Pandas
• PostgreSQL
• Docker
• Kubernetes
• Snowflake
• Data Governance
• ETL
• REST APIs
• DBT
• Azure Data Factory
• SQL Server
• Kafka
• Data Quality
• ELT
• Redis
• HL7
• FHIR
• GitHub Actions
• AWS S3
• T-SQL
• Airflow
• Redshift
• SQLAlchemy
• Ehr

🏆 Achievements & awards

• Reduced ETL/ELT processing delays by 38%

  Built and modernized pipelines for operational reporting and analytics.

• Reduced SQL report latency by 41%

  Improved performance through index redesign, query tuning, partitioning, and stored procedure cleanup.

• Reduced recurring data quality defects by 30%

  Implemented validation rules, confidence scoring, anomaly alerts, audit logs, and failure recovery.

• Reduced new pipeline build time by 27%

  Standardized reusable Airflow/dbt/Python pipeline templates and deployment checks.