Data Engineer and Analyst with extensive experience at IBM and Societe Generale, specializing in Python, SQL, and AWS. Recognized for designing and optimizing data pipelines that drive analytical solutions, resulting in a 30% increase in operational efficiency. Proven ability to utilize analytical reporting to inform strategic decisions and enhance performance. Committed to leveraging technical expertise to deliver innovative data-driven solutions.
Financial Transaction Monitoring System
Skills : SQL, Python, Apache Kafka, AWS Lambda, PySpark, AWS
Developed a real-time data pipeline to monitor financial transactions across multiple platforms, ensuring compliance and reducing fraud risks., Reduced fraud detection latency by 30%, ensuring quicker response times and enhanced security.
Big Data Platform for Energy Efficiency Analysis
Skills : Apache Hadoop, PySpark, AWS, SQL, Python
Develop a state-of-the-art big data platform tailored to analyze energy consumption patterns within Suncor's refineries and production plants., Reduced energy costs by 12% by identifying inefficiencies and optimizing energy consumption using big data analysis on historical energy usage data.