Claire Pukas

Designed agentic applications with Claude Code using agent orchestration, subagents, RAG, MCPs, APIs, and persistent memory. Built and deployed an interactive résumé chatbot and established quality gates for generated documents.

Paused from full-time employment for family illness and elder caregiving.

Owned technical reliability of a Python application for ATPCO fare submissions and maintained reference data for fare codes. Reengineered validation and error handling, achieving zero data errors for two years.

Owned database logic and data flows for energy accounting and settlement. Optimized ETL and query performance, established data lineage, and engineered reconciliation frameworks.

Delivered reporting and data integration within the central data team, supporting order processing, financials, and SOX reporting. Modeled star and snowflake schemas and built Pentaho ETL pipelines.

Defined source-to-target mapping and validation strategy for an enterprise PLM migration. Executed validation across conversion cycles, achieving zero-defect migrations and maintaining FDA-regulated traceability.

Owned BI data and schemas for Hotel Management Intelligence, supporting over 200 reports. Developed Jasper iReport and Oracle PL/SQL reporting and engineered database schemas and stored procedures.

In progress for Microsoft Fabric Data Engineer (DP-700) with test scheduled for 10/24/2026.

Earned a Bachelor of Science in Sociology.

Completed an 80-hour Big Data and Data Analytics Certificate.

Completed a Computer Information Systems Certificate Program with 30 credit hours.

Earned Microsoft Certified: Azure Data Fundamentals.

Completed Azure AI Foundry training on Generative AI and Agentic AI.

Completed Azure AI Foundry training on LLMs and RAG.

Completed MS Copilot training on Chat Bots.

Earned Databricks Fundamentals accreditation.

Completed 8 courses to date.