Data warehousing systems
Centralized repositories optimized for analytical queries are structured around schemas that support aggregation, reporting, and historical analysis.
Data Engineering and Big Data
Projects building data pipelines, warehouses, lakes, and large-scale analytics infrastructure.
Centralized repositories optimized for analytical queries are structured around schemas that support aggregation, reporting, and historical analysis.
A hub for public-facing pages about the technical systems, data patterns, and infrastructure choices that shape durable capability.
Dataset Development is the creation, curation, and refinement of datasets for analysis or product use.
Raw data is turned into standardized, consumable products with defined schemas, documentation, and delivery mechanisms.
Demand-Side Platform (DSP) Concepts is a frameworks for automated purchasing of digital advertising inventory.
Pipelines extract, transform, and load data across systems while enforcing schema, quality, and timing constraints.
Geographic Information Systems (GIS) is a systems for capturing, analyzing, and visualizing spatial and geographic data.
Using SafeGraph location observation data and Databricks/Spark, built a geospatial model to quantify human risk around utility infrastructure — helping...
Systems model physical space using coordinates, polygons, and clustering to derive insights and build products from location data.
Spatial systems represent and analyze location-aware data so geographic relationships can be integrated into products and decisions.