MLOps Engineer with 4+ years of experience building and supporting scalable MLOps platforms, data pipelines, and cloud-native applications. Skilled in Python, Kubernetes, Spark, Kafka, CI/CD, and production machine learning infrastructure.
Overview
4
4
years of professional experience
Work History
MLOps Engineer
Target
Minneapolis, Minnesota
07.2022 - 04.2026
Built and maintained enterprise MLOps platforms supporting large-scale machine learning forecasting pipelines.
Developed and deployed Python, Kotlin/Spring Boot, and Spark applications, APIs, and automation tools.
Designed and maintained CI/CD pipelines using GitHub, Docker, Kubernetes (TAP), and Vela.
Automated workflow orchestration and monitoring for production ML pipelines using Shepherd, REST APIs, OAuth, and Slack integrations.
Built and optimized Hive, Spark, and PostgreSQL data pipelines for feature engineering and forecast processing.
Developed and supported Kafka producers, consumers, and streaming workflows for real-time data ingestion.
Improved platform reliability through data validation, production troubleshooting, monitoring, and observability using OpenTelemetry, Prometheus, and Grafana.
Managed production deployments, dependency upgrades, security remediation (SCA), infrastructure access, and environment configuration across development, staging, and production environments.
Collaborated with cross-functional teams to deliver scalable, reliable, and secure machine learning infrastructure.
Education
Bachelor of Science - Computer Science
University of Minnesota (Transfered Senior Year)
Minneapolis, MN
Bachelor of Science - Computer Science
Metropolitan State University
Saint Paul, MN
12-2021
Skills
Languages: Python, Kotlin, Java, Scala, SQL, Bash
MLOps: CI/CD, Kubernetes, Docker, ML Platform Engineering, Workflow Orchestration