Chris Min
Chris Min

Staff Data Engineer

Open to offers · Member since 2 Oct 2026
Location
Atlanta, United States
Desired salary
Confidential
Work preference
Remote Only
Experience level
Lead

About

Professional summary

I am a Staff Data Engineer with more than 12 years of experience designing, developing, and optimizing large-scale data platforms, distributed systems, and cloud-based data solutions.

I specialize in building high-performance batch and real-time streaming pipelines using Apache Spark, Scala, Kafka, SQL, and the Hadoop ecosystem. My work includes scalable ETL/ELT frameworks, data lake architecture, distributed processing, and pipeline optimization.

I have delivered enterprise-grade data solutions across healthcare, spend analytics, cloud applications, and recruitment technology. I am experienced in processing high-volume datasets and improving reliability, performance, and scalability through sound architecture and engineering practices.

I work with cloud-native technologies including AWS, Azure, Docker, Kubernetes, and Helm. I also build backend and microservice solutions using Scala technologies such as Play Framework, Akka, and HTTP4s.

I provide technical leadership through architecture discussions, code reviews, troubleshooting, mentoring, and technical training. I enjoy collaborating with data scientists, engineers, architects, and product teams to solve complex data challenges.

I also bring experience in secure API development, including OAuth 2.0, JWT authentication, role-based access control, encryption, and data protection.

Notice period: immediately

Skills

37 capabilities

Tech stack & tools

Working toolkit

Experience

Career history

Staff Data Engineer / Senior Software Engineer, Data Teladoc Health

I design and develop scalable big data platforms and distributed data processing solutions for enterprise healthcare applications. I build and optimize large-scale batch and streaming pipelines using Apache Spark, Scala, Kafka, and SQL.

I architect and maintain ETL/ELT workflows for high-volume healthcare datasets, improving performance through Spark optimization, partitioning, caching, and distributed computing practices. I also develop reusable processing frameworks and cloud-native solutions using AWS, Azure, Docker, and Kubernetes.

I collaborate with data scientists, software engineers, architects, and product teams to deliver production-grade data solutions. I provide technical leadership through architecture discussions, code reviews, troubleshooting, and engineering best practices.

Senior Data Engineer / Data Architect YOSS

I designed and implemented scalable data architecture solutions for cloud-based applications. I developed distributed data processing workflows using Scala and Apache Spark.

I built backend services and microservice-based applications with Play Framework, HTTP4s, and modern Scala technologies. I created reusable service templates and engineering patterns that improved application scalability and maintainability.

I developed Spark-based analytics workflows and implemented containerized applications using Docker and Kubernetes. I collaborated with engineering teams to improve system reliability, performance, and scalability.

Senior Data Engineer SpendHQ

I built enterprise-scale data lake and ETL pipelines for spend analytics platforms. I developed large-scale data processing applications using Apache Spark and Scala.

I designed ingestion and transformation workflows using Kafka, Hive, HDFS, and Cassandra. I optimized distributed processing jobs to improve performance, reliability, and scalability.

I implemented solutions for both cloud and on-premise environments and developed reusable Spark examples and engineering patterns for large-scale analytics processing.

Engineering Lead / Software Engineer III / Software Engineer II / Software Engineer I CareerBuilder

I progressed from Software Engineer to Engineering Lead while delivering scalable backend and data-intensive solutions for recruitment technology platforms. I led engineering initiatives and provided technical direction for high-volume systems.

I designed and developed backend services using Java, Scala, and SQL, improved data quality and workflow efficiency, and introduced Scala development practices to help modernize engineering processes. I also designed reusable microservice templates and backend application patterns.

I delivered internal technical training and Apache Spark workshops covering distributed computing, Spark architecture, big data processing, and machine learning workflows.

Education

Learning history

Georgia Institute of Technology

Bachelor of Computer Science, Computer Science

Final CGPA: 3.90

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