Open to opportunities

Gary Revels

@garyrevels

Message

I build reliable AWS data pipelines, near-real-time integrations, and analytics-ready data products.

United States

Message

What I'm looking for

I'm looking to build reliable cloud data products and event-driven integrations where I can improve data quality, observability, performance, and operational resilience with stakeholders and engineering teams.

At ScienceSoft, I build and maintain AWS ETL pipelines that normalize client datasets with Python and PySpark, publish curated S3 outputs, and support reliable lake-to-warehouse reporting through Athena and Redshift.

Previously, at Connect for Health CO, I owned ingestion and transformation workflows for a state health insurance marketplace, turning eligibility and enrollment data into analytics-ready datasets. I built near-real-time Lambda and Step Functions processing, strengthened validation and quarantine workflows, and improved operational visibility with CloudWatch and CloudTrail.

Across healthcare, client data products, and telecommunications at MasTec Network Solutions, I’ve focused on resilient processing, schema evolution, event-driven SNS/SQS integrations, SQL and Spark performance tuning, and reproducible delivery with GitLab and Terraform.

Experience

Work history, roles, and key accomplishments

Current

Senior Software/Data Engineer

Current

ScienceSoft

Jan 2024 - Present (2 years 7 months)

Built and maintained ETL pipelines for client data products using Python and PySpark, normalizing datasets and producing curated outputs in S3. Implemented Glue-based orchestration with Step Functions, event-driven integrations with SNS/SQS, and data validation gates to ensure reliability.

Python PySpark SQL ETL AWS Glue Step Functions S3 Athena Redshift SNS Lambda Cloudwatch IAM Terraform Gitlab CI CD JSON API Integration Data Validation Monitoring Alerting

Senior AWS Data Engineer

Connect for Health CO

Oct 2017 - Dec 2023 (6 years 2 months)

Owned ingestion and transformation workflows for the state health insurance marketplace, using Python and PySpark to turn eligibility and enrollment data into analytics-ready datasets. Built near-real-time processing with Lambda and Step Functions, implemented data validation and quarantine workflows, and supported event-driven integrations with SNS/SQS.

Python PySpark SQL ETL AWS Glue Lambda Step Functions S3 Athena Redshift SNS Cloudwatch CloudTrail IAM JSON API Integration Data Validation Monitoring Incident Management

Data Engineer

MasTec Network Solutions

Oct 2015 - Oct 2017 (2 years)

Worked on telecommunications data workflows, building batch ingestion jobs in Python to normalize telemetry into S3. Developed Spark transformations in PySpark, assisted with warehouse-style reporting using SQL and Athena, and used AWS Glue for ETL automation.