Case Study

Rambunct Transforms Bobbitt’s Workforce Analytics with AWS Glue, S3 & AppFlow Integration

Background

Bobbitt Constructions modernized their HR and operations analytics by partnering with Rambunct to implement an end-to-end AWS data pipeline using Glue, S3, and AppFlow—enabling real-time workforce insights, cross-office coordination, and strategic decision-making across their Southeast operations.

The Challenge

Bobbitt Constructions faced fragmented HR data, manual reporting processes, and a lack of unified analytics across its multi-location construction operations.
  • Manual HR data extraction from BambooHR slowed decision-making and introduced errors.
  • No centralized repository or business intelligence for workforce planning and performance tracking.
  • Siloed data across Raleigh, Burlington, Winston-Salem, and Leland offices hindered cross-location coordination.
  • Inefficient, non-scalable data processes impacted historical analysis and project optimization.

Our Solution

Rambunct implemented a secure, automated AWS data management pipeline to consolidate and transform Bobbitt’s HR data for scalable analytics and reporting.
  • Used AWS AppFlow for secure, incremental data extraction from BambooHR into AWS.
  • Applied AWS Glue for ETL processing, cleansing, and aligning HR data with project metrics.
  • Stored data in Amazon S3 with partitioning, versioning, and lifecycle policies for long-term efficiency.
  • Automated the entire pipeline with monitoring, alerting, and documentation to support scalability and governance.

The Result

The solution enabled Bobbitt to replace manual reporting with real-time analytics, enhancing project agility, workforce planning, and organizational visibility.
  • 90% reduction in manual reporting time, freeing teams to focus on delivery and strategy.
  • 85% improvement in data accuracy through automated ETL processes and validation.
  • 70% faster report generation to support project adjustments and resource optimization.
  • Real-time analytics across offices enabled improved workforce allocation and cross-project insights.