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My JSON Resume
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| { | |
| "basics": { | |
| "name": "Morgan Williams", | |
| "label": "Data Engineer", | |
| "email": "[email protected]", | |
| "url": "https://morganwill.com", | |
| "summary": "", | |
| "location": { | |
| "address": "" | |
| }, | |
| "profiles": [ | |
| { | |
| "network": "GitHub", | |
| "username": "mrgnw", | |
| "url": "https://github.com/mrgnw" | |
| } | |
| ] | |
| }, | |
| "work": [ | |
| { | |
| "name": "CGI", | |
| "position": "Data Engineering Consultant", | |
| "startDate": "2025-03-17", | |
| "endDate": "2025-10-31", | |
| "highlights": [ | |
| "Created custom connectors for real-time data streams processing billions of records, with robust testing & cross-team communication to ensure changes meet requirements and keep 99.999% uptime", | |
| "Modernized project deployment structure CI/CD pipelines to improve iteration speed and reduce developer maintenance time, improving CVE resolution time by 10x", | |
| "Provided ongoing production support and troubleshooting for data pipeline issues across multiple enterprise client projects involving our ETL and data streaming platforms (AWS lambda, kinesis, Snowflake, PostgreSQL, CloudWatch, etc.)" | |
| ], | |
| "keywords": [ | |
| "Python", | |
| "AWS", | |
| "ETL", | |
| "SQL", | |
| "CI/CD", | |
| "Databricks", | |
| "Airflow" | |
| ] | |
| }, | |
| { | |
| "name": "National Care Dental", | |
| "position": "Data Engineering Consultant", | |
| "startDate": "2022-05-01", | |
| "endDate": "2025-03-17", | |
| "highlights": [ | |
| "Architected modern data pipelines, replacing manual tasks that took hours of human labor to tasks that completed automatically in seconds.", | |
| "Created full-stack SAAS resources to enable our clients to integrate better with our product.", | |
| "Mentored data analysts in Python and SQL, expanding their technical capabilities and establishing data quality standards and governance processes", | |
| "Consulted business to adopt third party solutions when buying was more effective than building - significantly reducing the need for valuable internal resources" | |
| ], | |
| "keywords": [ | |
| "Python", | |
| "AWS", | |
| "ETL", | |
| "SQL", | |
| "APIs", | |
| "Data Governance" | |
| ] | |
| }, | |
| { | |
| "name": "Persefoni", | |
| "position": "Senior Data Engineer", | |
| "startDate": "2021-08-01", | |
| "endDate": "2022-05-31", | |
| "highlights": [ | |
| "Implemented production-grade ETL pipelines in Databricks using Python and SQL for a rapidly growing climate-tech startup, applying solid engineering practices including testing and CI/CD", | |
| "Created scalable API endpoints in GoLang, collaborating across product and engineering teams to integrate multiple services and support business requirements" | |
| ], | |
| "keywords": [ | |
| "Python", | |
| "Databricks", | |
| "ETL", | |
| "SQL", | |
| "GoLang", | |
| "APIs" | |
| ] | |
| }, | |
| { | |
| "name": "Zelis Healthcare", | |
| "position": "Software Engineer", | |
| "startDate": "2018-12-01", | |
| "endDate": "2021-08-01", | |
| "highlights": [ | |
| "Created and optimized ETL workflows in Airflow, improving data processing performance by up to 1000x through efficient pipeline design and implementation", | |
| "Migrated multiple legacy codebases to Python3, significantly reducing maintenance and improving performance" | |
| ], | |
| "keywords": [ | |
| "Python", | |
| "Airflow", | |
| "Flask", | |
| "ETL", | |
| "Data Modeling" | |
| ] | |
| } | |
| ], | |
| "skills": [ | |
| { | |
| "name": "Core", | |
| "keywords": [ | |
| "Python", | |
| "SQL", | |
| "ETL", | |
| "AWS", | |
| "Airflow", | |
| "Databricks", | |
| "PostgreSQL", | |
| "APIs" | |
| ] | |
| }, | |
| { | |
| "name": "Secondary", | |
| "keywords": [ | |
| "DuckDB", | |
| "SQLMesh", | |
| "GoLang", | |
| "FastAPI", | |
| "JavaScript", | |
| "Svelte" | |
| ] | |
| } | |
| ], | |
| "projects": [ | |
| { | |
| "name": "Multilingual translator", | |
| "url": "https://anani.app", | |
| "description": "Translate to several languages at once using various backends: m2m language LLM, gpt, Google, deepl, etc.", | |
| "keywords": [ | |
| "Svelte", | |
| "Cloudflare", | |
| "Serverless" | |
| ] | |
| }, | |
| { | |
| "name": "Resume", | |
| "url": "https://github.com/mrgnw/cv", | |
| "description": "online CV with automatic PDF generation", | |
| "keywords": [ | |
| "Svelte", | |
| "Tailwind", | |
| "Node", | |
| "Cloudflare" | |
| ] | |
| } | |
| ], | |
| "education": [ | |
| { | |
| "institution": "BYU", | |
| "studyType": "BA in Russian Language & Literature", | |
| "area": "minor in advertising communications", | |
| "endDate": "2014-01-01" | |
| }, | |
| { | |
| "institution": "vschool.io", | |
| "studyType": "Coding Bootcamp", | |
| "area": "Python + JavaScript", | |
| "endDate": "2014-01-01" | |
| } | |
| ], | |
| "interests": [ | |
| { | |
| "name": "Keywords", | |
| "keywords": [ | |
| "Data Engineering", | |
| "Python", | |
| "SQL", | |
| "ETL", | |
| "AWS", | |
| "Airflow", | |
| "Databricks", | |
| "Spark", | |
| "Data Pipelines", | |
| "Data Governance", | |
| "Data Quality", | |
| "Snowflake", | |
| "dbt", | |
| "Terraform", | |
| "CI/CD", | |
| "Data Modeling", | |
| "Analytics", | |
| "Business Intelligence", | |
| "Cloud Computing", | |
| "Performance Optimization", | |
| "Data Warehousing", | |
| "APIs", | |
| "Kubernetes", | |
| "Data Validation", | |
| "Documentation", | |
| "Stakeholder Collaboration", | |
| "Financial Data", | |
| "Healthcare Data", | |
| "Climate Data" | |
| ] | |
| } | |
| ], | |
| "meta": { | |
| "matchScore": 8, | |
| "matchFactors": { | |
| "positives": [ | |
| "Strong Python and SQL experience with production ETL pipelines", | |
| "Extensive AWS and Airflow experience matching tech stack requirements", | |
| "Data governance and quality experience aligns with role requirements", | |
| "Cross-functional stakeholder collaboration experience", | |
| "Mentoring and documentation skills for team contribution" | |
| ], | |
| "negatives": [ | |
| "No direct Snowflake experience mentioned", | |
| "Limited dbt and Dagster experience", | |
| "No specific Terraform infrastructure-as-code experience listed" | |
| ], | |
| "scoreBreakdown": { | |
| "techStack": 3, | |
| "role": 2, | |
| "culture": 2, | |
| "domain": 1, | |
| "constraints": 0 | |
| }, | |
| "summary": "Excellent match with strong data engineering fundamentals, AWS/Python expertise, and stakeholder collaboration skills. Some gaps in specific tools like Snowflake and dbt." | |
| } | |
| } | |
| } |
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