Case Study

Transforming Manual Report Distribution into a Fully Automated Scalable System with 100% On-Schedule Delivery for Oil and Gas

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Industry 

Oil and Gas Industry

Expertise 

Amazon VPC, Amazon EKS, Amazon SES, Amazon S3

Offerings/solutions 

Automated hierarchical report distribution with reliable on-schedule delivery and centralized monitoring.

About the Client

The client is a diversified, integrated energy major with a presence in almost all streams of oil, gas, petrochemicals, and alternative energy sources, a world of high-caliber people, state-of-the-art technologies, and advanced R&D; a world of best practices, quality-consciousness, and transparency; and a world where energy in all its forms is tapped most responsibly and delivered to consumers most affordably.

Highlights

100%

Automated Delivery

Daily and weekly reports

Improved Timeliness of Reports

Email communication

Improved Reliability of Communication

The Challenge

The organization relied on manual report distribution across a complex multi-level hierarchy, leading to delays, inconsistent communication, and misdirected reports. The lack of automated scheduling, inefficient attachment handling, and limited email delivery monitoring highlighted the need for a centralized, automated, and scalable distribution system.

Solutions

• Automated daily and weekly report scheduling and distribution using Apache Airflow DAGs.
• FastAPI-based RESTful backend for managing email workflows and internal service integrations.
• Intelligent hierarchical distribution ensuring reports reach the correct HO, SO, DO, and FO recipients.
• Amazon S3 for secure, scalable attachment storage with easy retrieval during email dispatch.
• Amazon SES for reliable large-scale email delivery with attachments and templated content.
• Centralized logging to track delivery status, workflow execution, and system health.
• GitLab-based version control and CI/CD for streamlined development and collaboration.

The Results

Delivered 100% automated report distribution with on-schedule hierarchical delivery, reduced manual intervention, and improved scalability, monitoring, and communication reliability.

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