ETL Pipeline Development

Prashant Kumar

0

Automation Engineer

Data Engineer

Area: Data Engineering (ETL & Automation)
Description: Developed an ETL pipeline using Python and Airflow to automate the generation of production reports for oil wells. The pipeline extracted data from various sources, transformed it for consistency, and loaded it into a centralized dashboard. This automation reduced the lead time for report generation from 60 minutes to 3 minutes and improved data accuracy by 10%.
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Posted Aug 17, 2024

Robust solution to decrease the efforts and increase productivity by enhancing the speed of extraction and loading.

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Clients

SLB

Tags

Automation Engineer

Data Engineer

E&P Data Management Solution Deployment
E&P Data Management Solution Deployment
 Predictive Maintenance for Steel Production Equipment
Predictive Maintenance for Steel Production Equipment
Real-Time Production Data Visualization
Real-Time Production Data Visualization