"Data Pipeline Modernization"

Projects Overview

Developed automated ETL pipelines to streamline data integration and transformation.

Enabled real-time data loading and improved data quality for healthcare analytics.

Utilized Apache Airflow and AWS Glue for scalable data workflows.

Our Process

Step 01

Requirements Analysis

Analyzed data sources and designed workflows to meet healthcare data integration needs.

Step 02

Pipeline Development

Implemented ETL pipelines using Apache Airflow and Python for automation.

Step 03

Deployment & Testing

Deployed pipelines on AWS Glue and tested workflows for efficiency and reliability.

Result

Reduced manual data integration efforts by 70%.

Improved data quality and accessibility for analytics and reporting.

Enabled near real-time data updates across systems.