Kayode Ayeni

I am a results-driven Senior Data Engineer with over 12 years of expertise in designing, building, and optimizing large-scale data infrastructure and ETL pipelines. My proven track record includes reducing data processing costs by 60% while improving system performance by 300%. I am an expert in cloud platforms such as AWS, Azure, and GCP, as well as big data technologies and real-time streaming architectures. I have successfully led cross-functional teams of over 15 engineers to deliver mission-critical data solutions serving more than 50 million users.

In my current role at Siemens, I architected and deployed scalable data pipelines using Apache Spark and AWS, significantly reducing data processing time by 60% and enabling real-time analytics for over 10 business units. My experience also includes implementing Kubernetes-based containerization for data workflows, which improved deployment efficiency by 40% and achieved 99.99% system uptime. I have optimized SQL queries and database schemas in MySQL and DynamoDB, cutting query execution time by 50% for large-scale datasets.

Previously, at Orange, I designed and maintained data pipelines using Python, Airflow, and AWS S3, processing over 1TB of daily data and improving ETL performance by 45%. I developed REST APIs with FastAPI to integrate data systems, enabling seamless data flow across five microservices and reducing latency by 30%. My collaborative work with cross-functional teams has consistently delivered over 15 data projects on time and under budget.