Careplus
Careplus
Project overview
CareePlus is an imaginary BPO company managing customer support operations for multiple clients. Support tickets, operational logs, and system data were fragmented across MySQL databases and flat files, making it impossible to generate unified dashboards for business and operational insights. This project builds a fully automated AWS-based ETL pipeline that centralizes all data into a single analytics-ready platform.
CareePlus is an imaginary BPO company managing customer support operations for multiple clients. Support tickets, operational logs, and system data were fragmented across MySQL databases and flat files, making it impossible to generate unified dashboards for business and operational insights. This project builds a fully automated AWS-based ETL pipeline that centralizes all data into a single analytics-ready platform.
Services
Data Engineering & ETL Pipeline
Cloud Data Lake Architecture
Industry
Business Process Outsourcing & Customer Support
Year
2026
Challenge
Operational data was distributed across MySQL databases, ticketing systems, and unstructured log files with no centralized analytics layer. Analysts spent hours manually querying multiple systems to answer basic questions about ticket volumes, resolution times, and agent performance — with no single source of truth for business decisions.
Operational data was distributed across MySQL databases, ticketing systems, and unstructured log files with no centralized analytics layer. Analysts spent hours manually querying multiple systems to answer basic questions about ticket volumes, resolution times, and agent performance — with no single source of truth for business decisions.
Outcome
Built a fully automated AWS ETL pipeline integrating structured MySQL data and unstructured log files into a unified S3 data lake, queryable via Athena and loaded into Redshift for centralized analytics. Delivered a Power BI dashboard surfacing ticket volume, agent performance, resolution time by category, and channel-wise intake breakdown — replacing all manual reporting with automated daily refresh.
Built a fully automated AWS ETL pipeline integrating structured MySQL data and unstructured log files into a unified S3 data lake, queryable via Athena and loaded into Redshift for centralized analytics. Delivered a Power BI dashboard surfacing ticket volume, agent performance, resolution time by category, and channel-wise intake breakdown — replacing all manual reporting with automated daily refresh.
View more work.
