Data Engineer

Timileyin S. is a Data Engineer with several years of experience in designing and optimizing scalable ETL and ELT pipelines and building cloud-based data solutions. He is proficient in Python, SQL, PySpark, and uses these technologies to build data pipelines, real-time processing systems, and analytics platforms. Timileyin utilizes Azure Data Factory, Apache Airflow, and Databricks for orchestration and data processing, with a strong focus on data warehousing and cloud environments like AWS, GCP, and Snowflake. At Data Epic, he engineered a Netflix recommendation system with Flask integration and optimized SQL queries for improved performance. At 10Alytics, he developed an end-to-end Azure ETL pipeline and built a real-time sales data pipeline on Google Cloud, showcasing his ability to handle complex data environments. Timileyin holds no formal degree but has a proven track record in data engineering. He is well-suited for roles that require building robust data infrastructure and analytics solutions, particularly in cloud and real-time data processing contexts.