Analytics Engineering Toolkit
Reusable patterns for turning operational data into reliable reporting models and decision-ready metrics.
Impact: Improves metric consistency, lineage, and analyst delivery speed.
Projects
A working portfolio of data engineering, analytics, and applied AI/ML projects. Replace placeholder repository URLs as projects are published.
Reusable patterns for turning operational data into reliable reporting models and decision-ready metrics.
Impact: Improves metric consistency, lineage, and analyst delivery speed.
A lightweight monitoring approach for batch data pipelines with run metadata, freshness checks, and failure triage.
Impact: Reduces silent data failures and makes pipeline health easier to inspect.
Small experiments exploring retrieval, evaluation, and automation patterns for AI-assisted analytics workflows.
Impact: Creates a public trail of practical AI/ML learning and implementation choices.