Morgan Williams

• Architected and deployed custom AWS Lambda connectors with Kinesis Data Streams integration, enabling real-time event-driven data streaming for critical business workflows processing 10M+ events daily and reducing data latency from hours to sub-second response times.
• Designed and implemented CI/CD pipelines using GitLab Pipelines, AWS CodePipeline, and CodeBuild with automated testing frameworks (pytest, unittest), reducing deployment time by 80%, eliminating manual errors, and enabling continuous delivery across 15+ microservices.
• Accelerated security vulnerability remediation from days to minutes by migrating 5 major projects to UV and Ruff, enabling rapid dependency updates and automated code quality checks while reducing package installation time by 10-100x and cutting CI/CD pipeline runtime by 60%.
• Provided ongoing production support and troubleshooting for data pipeline issues across 5+ enterprise client projects, leveraging CloudWatch monitoring and logging
• Modernized legacy ETL workflows to cloud-native architectures using Apache Airflow, Databricks, and AWS services (Lambda, S3, EC2, Glue), accelerating batch processing tasks by 100x-1000x through parallelization, automation, and serverless computing patterns.

• Designed and implemented data infrastructure and pipelines, enabling faster business operations and enhanced data insights while cutting costs significantly.
• Transitioned legacy workflows to modern data pipelines, accelerating tasks by 100x to 1000x through automation, reducing multi-hour processes to seconds or milliseconds.
• Mentored data analysts in Python and SQL, expanding their skills and capabilities, resulting in a substantial increase in productivity.

• Implemented ETL processes pipelines in Databricks for a rapidly growing climate-change startup
• Created API endpoints in GoLang, learning new tech & collaborating across teams to interface multiple services.
• Documented & created new processes to onboard, train, and increase teammate productivity.

• Created new ETL workflows in Airflow and optimized existing processing times up to 1000x.
• Migrated multiple codebases to Python3.
• Created Python APIs and internal web interfaces, empowering business users across teams to meaningfully interact with company data.

online CV with automatic PDF generation

Translate to several languages at once using various backends: m2m language LLM, gpt, Google, deepl, etc.

Send WhatsApp & Telegram messages to a phone number