Audience Intent Data Model Development
Designed a unified data model to integrate any data source into a big data geospatial analytics program, handling over 100TB of data in GCS and BigQuery with...
What It Is
Data Engineering is the design and construction of systems for collecting, storing, and processing data. On this site, it matters because it transfers across technical, operational, and venture work instead of staying trapped in one narrow context.
Learn more: https://en.wikipedia.org/wiki/Data_engineering
Data lineage systems
Tracking systems record the origin, transformations, and dependencies of data across pipelines and reports.
Data monetization systems
Market structures exchange data as a product by aligning suppliers and consumers through pricing, packaging, and access controls.
Data privacy/compliance systems
Frameworks govern how data is stored, shared, and used to meet legal, contractual, and ethical expectations.
Data quality systems
Processes and tools ensure data accuracy, completeness, and consistency through validation, monitoring, and correction.
Data Reporting Transformation for Hotel Chain
Solutions architect role redesigning a fundamentally flawed Pentaho ETL into a scalable AWS Redshift data warehouse for a hospitality leader. Identified root...
Dataset productization systems
Raw data is turned into standardized, consumable products with defined schemas, documentation, and delivery mechanisms.
Geospatial Human Risk Quantification
Using SafeGraph location observation data and Databricks/Spark, built a geospatial model to quantify human risk around utility infrastructure — helping...
Google BigQuery
Google BigQuery is a serverless data warehouse for large-scale analytics.
Great Data Lake LLC — Data Brokerage and Value-Add Business
Founded and ran a data brokerage from 2017 to 2022 that turned hundreds of terabytes of raw location and advertising data into clean, compliant, sellable datasets for defense, government, and finance customers.