Abimola Onibi

WORK HISTORY

EDUCATION

ABOUT ABIMOLA ONIBI

I am a Data Engineer focused on designing scalable data architectures, building reliable data pipelines, and enabling high-quality analytics across cloud environments. I specialize in transforming complex data into clean, trusted, production-ready datasets that support real-time insights, automation, and intelligent decision-making.Core Data Engineering Strengths:• ETL and ELT pipeline development using Python, SQL, and PySpark• Data modelling, warehousing, and architecture for analytics, batch processing, and streaming workloads• Cloud-native engineering on AWS and Azure• Distributed processing and large-scale transformations with Apache Spark and Databricks• End-to-end workflow orchestration and automation using Airflow and dbt• ML data pipeline support including feature engineering, model-ready datasets, and scalable processing• Containerized development, CI/CD pipelines, and Git-based version control• Strong data quality, validation, monitoring, and governance practicesCertifications:• AWS Certified Solutions Architect Associate• AWS Certified Data Engineer Associate• AWS Certified Machine Learning Engineer Associate• AWS Certified Machine Learning Specialty• Databricks Certified Data Engineer AssociateMy MSc in Data Science strengthened my engineering approach to ML workflows, feature pipelines, experimentation data structures, and production-grade automation, helping me design end-to-end systems that are robust, efficient, and scalable.I enjoy building dependable data platforms, solving complex engineering challenges, and improving the speed, reliability, and usability of data across organizations.Let’s connect. I am always open to conversations about data engineering, cloud workflows, and modern data platforms.