À propos de Ramya Wuraola
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Expériences
- Devoteam A cloud,DATA ANALYTICS ENGINEERmai 2024 - Aujourd'hui (2 ans et 1 mois)Paris, FranceEngie B2B IT : Data Engineering and Analytics on Energy Metering Systems Designed and developed scalable Databricks (PySpark) pipelines processing millions of time-series clients consumptions records (PODs, contracts, and allocations) ensuring data integrity at scale. Built data flows to support billing accuracy, contract reconciliation, and allocation tracking improving financial reliability and auditability. Worked on energy metering and pricing analytics, structuring models for operational and financial teams and other users. Delivered a proof of concept (POC) to detect and analyze eco-accounting discrepancies, validating the data approach and enabling the project's industrialization. Performance optimization using broadcastjoins, partition tuning, and schema validation to reduce job runtime and improve scalability. Contributed to the data quality governance layer, ensuring traceability, validation, and schema evolution across the Delta Lake architecture. Environment: PySpark, Databricks, Delta Lake, Azure, SQL, Git, Jira.
- Quantmetry,DATA ANALYTICS ENGINEERjuin 2022 - février 2024 (1 an et 8 mois)Paris, FranceDecathlon Technologies: Reappropriation and Valorization of supply chain Data Built ETL pipelines to generate actionable KPIs and improve operational efficiency. Orchestration of processes related to data management to improve marketing operational efficiency. Ensured data quality and introduced the data product mindset within the team. Facilitated collaboration between business and tech teams using agile project management. Environment: Python, PySpark, SQL, Databricks ,Github, AWS (S3, Redshift), dbt
- Air Liquide IT,DATA ENGINEERseptembre 2019 - mars 2022 (2 ans et 6 mois)Paris, FranceData quality Tool Organization of workshops to align functionalities with needs. Designing and implementing the tool based on business needs. Production of documentation. Environment: Python, AWS( EC2, S3), GIT, Shell. Consolidation of all Network Air liquide site data and KPIs creation. Optimizing data workflows. Creation and automation of essential business KPIs calculations Environment: Python, AWS( ECE, S3), Git, Shell, SQL, Trello, Cron. Other Activities: Data extraction via Web Scraping. Coordinating Data Migration Projects.
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Formations
- MSC DATA MANAGEMENTEFREI & PSB PARIS2022MSC DATA MANAGEMENT
- ENGINEERING DEGREEESIGELEC2020ENGINEERING DEGREE