Francis Methery

Design and implement data collection pipelines. Ensure data quality and cleaning by automating the ETL process.

Automation of performance tests using JMeter and writing analysis reports to detect application bottlenecks. Implementation of a monitoring pipeline with the Telegraf / InfluxDB / Grafana stack to track system KPIs in real-time. Creation of dynamic dashboards in Grafana to visualize application performance and facilitate technical decision-making. Agile collaboration within multidisciplinary teams, particularly with developers and business managers.

Design Python scripts for automating data cleaning and preparation, optimizing exploratory analysis and dataset quality. Participation in the implementation of ETL flows (Talend, Pentaho) to centralize and structure data from multiple sources (flat files, SQL databases, REST APIs). Integration of external data via API to enrich analyses and ensure a more complete business view. Development of dynamic reports in Power BI, allowing clear monitoring of key indicators (KPIs) and facilitating strategic decision-making. User support, requirements gathering and formalization.