Nathan Archibald

- Build and maintain custom web applications and platforms that integrate AI agents, leveraging front-end (React/Next.js), back-end (Node.js/Python), APIs, databases, and cloud infrastructure to create seamless user experiences. - Architect and implement autonomous AI agents using modern frameworks (e.g., LangChain, CrewAI, AutoGen, or similar) to handle multi-step reasoning, tool integration, decision-making, and workflow orchestration for enterprise clients.

Built scalable data infrastructures and ETL pipelines to enable analytics, reliable data flows, and faster decision-making in a high-volume environment. - Developed and orchestrated 100+ data pipelines using Apache Airflow integrated with Google Pub/Sub and BigQuery, supporting 25 data products and significantly improving data accessibility and collaboration across engineering and analytics teams - Automated validation processes for 10,000+ daily clickstream events with Python scripts, ensuring end-to-end data reliability and reducing errors in downstream analytics - Engineered 100+ stored procedures and validation scripts in SQL Server, slashing new data source onboarding time from 3 minutes to under 1 minute and accelerating deployment cycles - Designed and implemented ETL workflows with Python and cloud services to ingest and process data from 10+ sources, powering 15+ dashboards and enhancing overall reporting efficiency - Led migration of 15+ workflows to GCP (utilizing BigQuery and Cloud Composer), reducing processing time by 30% over six months while improving scalability and cost-efficiency - Implemented Azure Data Factory ETL pipelines across 10+ workflows, cutting latency by 25% and enabling seamless integration with SQL Data Warehouse for advanced cloud-based analytics

Automated reporting processes and workflows to boost efficiency for accounting and controller teams in a fast-paced real estate services environment. - Designed and automated interactive Power BI dashboards for 10 controllers, integrating Power Automate for real-time data refreshes and workflow triggers, reducing manual update times by 50% and standardizing formats across teams - Automated complex reports using advanced Excel formulas, macros, and Power BI visualizations, saving 5-10 hours per week while enhancing data accuracy for executive decision-making - Collaborated in a 4-person team to support 8 accounting groups through workflow analysis and Power Automate deployments, achieving a 20% overall reduction in reporting time and improved operational reliability - Streamlined data processes and tool integrations (Power BI + Power Automate) to eliminate manual errors and enable faster insights for financial stakeholders

Built a web scrapping data tool for East Coast shipping ports. The data was used by the employer to make valuable data driven decisions pertaining to Natural Gas futures. Used a GIS tool for collecting and producing data products. Given a Team Lead role during a high priority project. Created and organized a list of instructions. In the end the Team was a week ahead of schedule and able to move forward to gain an edge over competitors.

Projects varied from residential pool decks to Olympic size pool decks for local colleges and community centers. Developed excellent communication skills to help customers and explain the situations to the office. The crew, through detailed explanations and upfront expectations, was able to secure a $250,000 job that was on and off the negotiation table.