Data Systems & Analytics Work

Engineering Problem

SEC financial records arrive through raw API responses with inconsistent tags, reporting periods, statement types, and filing structures. The project organizes those records into validated, analytics-ready financial datasets and supports anomaly monitoring across company metrics.

Engineering Problem

Healthcare data processing requires reliable movement across ingestion, distributed processing, object storage, orchestration, warehouse loading, and validation layers. This project demonstrates how those components can be organized into a reproducible multi-stage pipeline.

Engineering Problem

The Olist dataset spans orders, customers, sellers, products, payments, reviews, and delivery activity. The project unifies those sources into dimensional models and analytical marts while extending structured reporting with sentiment classification and graph-based relationship analysis.

Engineering Problem

Historical flight records require repeatable ingestion, safe reruns, scalable warehouse loading, and dimensional models that support airline, route, delay, and operational analysis. The project organizes the full workflow into parameterized Airflow tasks and idempotent pipeline stages.

Engineering Problem

Raw taxi-trip records contain timestamp, speed, duration, fare, location, and trip anomalies that must be validated before operational reporting. The project creates tested transformation layers and reporting marts for revenue, trip demand, duration, and airport traffic.