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Eoin McDonnell
Staff Full-Stack & DevOps Engineer specializing in cloud-native platforms and AI
APAX SoftwareNorthern Kentucky UniversityLexington, KY19 Years ExperienceStaff LevelWorks Remote
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About
Backend/data engineer focused on production Python and AWS: built FastAPI REST services and a containerized ECS Fargate + Lambda architecture deployed via Terraform/CI-CD. Strong in data engineering (Glue/S3/Parquet/RDS) and operational reliability (CloudWatch/SNS, retries, schema-evolution handling), with experience modernizing legacy SAS reporting into Python microservices using feature flags and parity validation.
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Delivered AWS production platform using ECS Fargate microservices plus Lambda for async/event-driven workflows
Infrastructure-as-code and automated deployments with Terraform and CI/CD building/testing Docker images
Secure configuration management using Secrets Manager/SSM with IAM role-based access
Built AWS Glue ETL from S3 and RDS/Postgres to partitioned Parquet on S3 with crawlers and schema evolution handling
Operationalized pipelines with CloudWatch monitoring/alarms, retries, and SNS notifications for failures
Modernized SAS reporting into Python microservice; validated parity via side-by-side historical comparisons and stakeholder sign-off; reduced migration risk with feature flags and fallback
Improved SQL performance using composite indexes and partition pruning, reducing runtime to under 3 minutes
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Experience
Staff Software Engineer – Team LeadAPAX Software · Jul 2023 – Dec 2025
Lead Software Engineerdormakaba · May 2020 – Jul 2023
Senior Software Engineerdormakaba · Aug 2016 – May 2020
Software Engineerdormakaba · Dec 2012 – Aug 2016
Java Software EngineerVXL IT · Mar 2009 – Nov 2011
Web DeveloperBT · Apr 2006 – Mar 2009
Python Backend Engineer – Team LeadAwesome Inc · Jul 2023 – Nov 2025
Web Developer & Server AdministratorBT · Apr 2006 – Feb 2008
Staff Software Engineer specializing in scalable full-stack FinTech systems
Palo Alto, CA18y exp
YouTubeVirginia Tech
“Full-stack/backend engineer with recent hands-on experience building an AI-powered AML/KYC platform for financial institutions, spanning Go/Python backend services, real-time risk pipelines, and React/TypeScript analyst dashboards. Stands out for measurable compliance-tech impact: 94% fewer false positives, review times reduced from days to hours, and microservices processing 10,000+ transactions per second.”