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Overview
Developed a fully automated data infrastructure to streamline daily commercial operations for a leading independent power producer, significantly improving data reliability and reducing manual workload.
Challenge
- Manual consolidation of operational and market data from APIs, FTP servers, and daily email attachments.
- High risk of data entry errors and inconsistent reporting timelines.
- Excessive staff hours spent on repetitive, low-value tasks, delaying critical commercial decisions.
Solution
- Built robust Python-based ETL pipelines to automatically ingest and transform data from multiple external partners (Tenaska, Pharos, EDF, S&P).
- Centralized all data in a secure SQL Server environment to create a single source of truth.
- Integrated Excel Power Queries for dynamic, on-demand reporting tailored to business users.
- Deployed Power Automate flows and OneDrive to extract structured data from daily emails, triggering scheduled scripts for end-to-end automated processing.
Key Benefits
- Reduced manual daily data processing by over 90%, freeing up staff time for strategic analysis.
- Ensured consistent, near real-time data availability to support agile commercial decision-making.
- Established a scalable foundation to support future analytics, machine learning, and advanced forecasting initiatives.
