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Sen Cutler

Data Engineer · Tacoma, WA · 1 (253) 349-5499 · sxcutler@protonmail.com · sen-cutler.net
Available for contract work • Remote • US-based • Pacific time
Letter of recommendation • Top Rated+ on Upwork

Professional Summary

Independent data engineer who builds ETL pipelines and API integrations to accurately move data between systems, and does hands-on data work on bulk CSV, Excel, PDF, XML, JSON, and other formats to prepare data for analysis and reporting. Stack is Python, PostgreSQL, and pandas. Experienced with AI-assisted coding; verifies every change with code review and unit tests.

Experience

Data Engineer • Self-employed, Remote • February 2024 to Present

API Integrations and ETL Pipelines

• Built an API ingestion platform using PostgreSQL to stage with replay, resume, and idempotency.
• Built an API integration to load CRM data from legacy to replacement using clustering to flag junk.
• Built an async Python toolkit for the Lawmatics API; used in nine onboardings.

Data Cleansing and Deduplication

• Deduplicated 10.8M records, tuning match logic to cut false positives and negatives.
• Cleaned, standardized, and deduplicated 320K contact records from nine inconsistent CSV files.
• Cleaned survey data for an intervention study, ran the analysis, and delivered report with notebook.

Data Extraction and Validation

• Built a staged pipeline that validates and reconciles multi-source marketing CSVs.
• Extracted 24K rows of financial data from a 190 MB JSON chat log with regex and a grammar parser.
• Extracted 4,100 structured records from PDF book scans with uneven OCR, parsed into PostgreSQL.

Webhook Services and Automation

• Built a FastAPI webhook service, called from Zapier, that scores incoming leads and flags duplicates.
• Built an Airtable data-quality service with a FastAPI scanner, an AWS Lambda, and a Zapier front end.
• Built a nightly AWS Lambda that sends FTP CSVs out for enrichment and routes the results.

Technical Skills

• Languages and Core: Python (asyncio, pandas, pytest), Jupyter, Claude Code
• Databases: PostgreSQL, MySQL, SQLite
• File Formats: CSV, Excel, JSON, XML, PDF
• APIs: FastAPI, Django REST Framework, webhooks, OAuth; Lawmatics, Shopify
• Cloud and Automation: AWS (Lambda, App Runner), Docker, GCP, Zapier, Airtable
• Language Models: OpenAI API, Anthropic API, prompt engineering, OCR, data wrangling

Certifications

• IBM Machine Learning Professional Certificate — IBM, December 2024
• IBM Data Science Professional Certificate — IBM, October 2024
• Docker Mastery: with Kubernetes + Swarm — Udemy, October 2023

Education

B.S. in Statistics, University of Washington, Seattle, WA