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Alee Ash

@aleeash

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Experienced Data Solutions Architect and Senior Data Engineer.

United States

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What I'm looking for

I seek a role where I can leverage my data engineering expertise to drive impactful solutions in a collaborative environment, focusing on innovation and continuous improvement.

With over a decade of experience in data engineering, I specialize in building and scaling robust data systems that drive smarter business decisions. I’ve designed and implemented end-to-end data pipelines, led cloud migration efforts for legacy platforms, and supported analytics infrastructure used across a range of business units.

I work closely with data scientists, analysts, and product teams to ensure that data is not just accessible, but also accurate, timely, and actionable. Whether in startup environments or large enterprises, I focus on delivering solutions that are fast, reliable, and easy to maintain.

Technically, I’m proficient in tools like Spark, Kafka, Airflow, dbt, and Snowflake, and have built both streaming and batch processing pipelines using Python, SQL, and Scala. I emphasize clean code, strong data quality, and effective monitoring to build systems that perform consistently and scale gracefully as business needs evolve.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

CorroHealth

Jun 2021 - Present (4 years 1 month)

Led the architecture and deployment of end-to-end data platforms leveraging AWS, GCP, and Azure to handle both streaming and batch data at scale. Drove MLOps initiatives by productionizing ML models using Kubeflow, MLflow, Docker, and Kubernetes, with deployment pipelines built on CI/CD workflows.

AWS GCP Azure Apache Airflow DBT Apache Beam Apache Kafka Amazon Kinesis Flink Kubeflow MLFlow Docker Kubernetes Jenkins GitHub Actions Terraform Helm Great Expectations Prometheus Grafana Datadog)OpenTelemetry

Senior Data Engineer

Analytics8

Aug 2018 - Present (6 years 11 months)

Architected and maintained scalable ETL pipelines using Airflow and AWS Glue to process and normalize advertising data across multiple sources. Led migration of legacy data systems to a cloud-native stack on AWS, improving performance and reducing operational overhead.

Apache Airflow AWS Glue AWS S3 Redshift Lambda Snowflake Kafka Python Spark GitHub Actions Terraform Datadog)Cloudwatch

Data Engineer

Etleap

Jun 2014 - Present (11 years 1 month)

Supported the design and implementation of ETL pipelines, moving data from various sources into centralized systems for analysis. Wrote and maintained Python and SQL scripts to perform data cleaning, transformation, and enrichment tasks, improving data quality.

Python SQL Apache Airflow AWS Glue Amazon S3 Redshift ETL Data Cleaning Data Enrichment

Education

Degrees, certifications, and relevant coursework

Unknown University

Bachelor of Science, Computer Science

Studied the fundamentals of computer science, including programming languages, data structures, and algorithms. Gained a strong foundation in software development and problem-solving.