Prototype Infrastructure Before Production
Why rehearsal environments, prototypes, and smaller proving grounds can improve real production systems.
Data Engineering and Big Data
Projects building data pipelines, warehouses, lakes, and large-scale analytics infrastructure.
Why rehearsal environments, prototypes, and smaller proving grounds can improve real production systems.
Amazon Kinesis is a real-time data streaming platform for ingestion and processing.
Amazon Redshift is a cloud data warehouse for large-scale analytics.
Data Governance is the management of data availability, usability, integrity, and security within an organization.
Pipelines and structures turn raw data into packaged, sellable, and repeatable products with defined schemas and use cases.
Redis is an in-memory data store for caching and real-time systems.
SQL is a language for querying and managing relational databases.
A public overview of how Lumate grew out of student projects, became a high-scale mobile advertising platform, hit structural limits, and reshaped what came next.
Python is a programming language for automation, data, and backend systems.
Amazon S3 is an object storage for scalable and durable data storage.