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Richard Gregory
Senior Full-Stack Developer specializing in Python, cloud microservices, and AI/ML
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About
Backend/data engineer with hands-on production experience across GCP and AWS: built FastAPI microservices on Cloud Run and delivered AWS Lambda + ECS Fargate systems with Terraform/GitHub Actions. Strong in data engineering (Glue/Spark, S3/Redshift) and modernization (SAS to Python/SQL), with proven reliability and incident ownership—including cutting a 20+ minute reporting query to under 2 minutes.
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Key Strengths
- Built and operated production FastAPI microservice on GCP (Cloud Run) with Postgres/BigQuery/Redis
- Implemented auth and reliability patterns (JWT/OAuth, RBAC, timeouts, retries with exponential backoff, centralized error handling)
- AWS serverless + container architecture delivery (Lambda + ECS Fargate) with Terraform and GitHub Actions CI/CD
- Designed AWS Glue ETL into S3 data lake and Redshift with schema discovery, versioning, and data quality checks
- Modernized legacy SAS workflows into Python microservices and SQL pipelines using parallel runs and automated reconciliation tests
- SQL performance optimization: reduced monthly reporting query runtime from 20+ minutes to under 2 minutes (indexes, partitioning, CTE refactor)
- Owned data pipeline incident response: detected schema-change data drops via monitoring, replayed partitions/backfilled, added contract tests and stronger validation
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