Nathan Mckinney Email and Phone Number

Engineering for a vertical SaaS startup focused on delivering a premier market intelligence and proprietary land management platform. Our solution is leveraged by national agricultural lenders, retailers, farms, REITs, and other B2B entities.- Migration experience includes a 3-month effort to intensively implement dbt alongside Airbyte / Snowflake dynamic tables environment, as well as a month-long effort to convert over application reporting infrastructure from Looker to Omni- Managed big data pipelines and scheduling, addressed failure/monitoring needs throughout our Snowflake/dbt environment, and responsible for integration of new partner data that enhanced our front-end application and client reports.- Managed and developed Snowflake permissioning, access, and Snowpipes as required across our Terraform environmentCurrent Stack: Airbyte, DBT, Omni, Snowflake, Terraform, Git

A 6-month engineering engagement delivering pipeline, architecture, and Snowflake admin expertise as part of a federal program migrating to SnowflakePrimary Stack: Snowflake, SQL, Python, Git, Agile, Azure DevOps

Designed, programmed and deployed analytical solutions for a REIT managing 75,000 apartments across the U.S.Delivered ad-hoc analysis and visual storytelling for Market Research, Operations, Revenue and C-Level stakeholders Built, documented, and deployed new DBT data models, pipelines, and automated PowerBI reporting tools alongside data engineers in a corporate data modernization to Azure/SnowflakePrimary Stack: Python, SQL, DBT, Snowflake, PowerBI, Git

480+ hour machine learning bootcamp, utilizing Python, SQL, AWS, TensorFlow, and Databricks/PySpark to produce deliverables and algorithms requiring the use of regression modeling, natural language processing, recommender systems, and neural networksPrimary Tools: Python, SQL, Databricks, Git

Non-profit based research and fundraising work for a Illinois non-profit seeking to meet the needs of marginalized communities in North America and around the globe

Performed primary data analysis on 19 million tons of annual sales across 3 shipping modes and 8 products for a Fortune 500 firm Used programming and visualization tools to (i) craft analytical packages and dashboards for sales managers and product leads on request; (ii) data mine insights on customer, shipping, storage, and pricing trendsDelivered geospatial maps and data discovery for use in senior-level analysis on global project developments and asset investment opportunitiesPrimary Tools: Python, Tableau, Excel

Managed supply-side economic databases and data lead on quantitative projects involving trade, production costs, pricing, and the operational capabilities of nitrogen producers in a $115 billion marketPrimary Tools: Python, Tableau, ExcelPrototyped Excel/Python applications that automated periodic reporting and analysis, and was responsible for the cut of an estimated 118 man-hours annually in 2018Primary authorship of (i) exec-level memorandums and in-depth due diligence on market positioning and competitor down-time; (ii) trade reports highlighting customs data, international trade flows; (iii) production and inventory reports comparing company KPI’s and forecasts against industry data