Olaoluwatomide Idowu

Develop and support AWS-based data pipelines for financial data processing, applying data engineering practices to batch processing, ingestion, and transformation workflows. Support cloud data platform reliability through monitoring, incident investigation, and production troubleshooting.

Developed data ingestion and transformation workflows for industrial and manufacturing data using Python, SQL, and distributed processing tools. Built and maintained Python backend services and REST APIs for data exchange between enterprise systems.

Developed Python-based data processing components for banking and transaction datasets within established engineering platforms. Wrote SQL transformations and queries to prepare structured data for reporting and downstream applications.

Developed Python and SQL data workflows to process engine telematics, warranty, and manufacturing information. Built ETL pipelines and data transformations using AWS data services and distributed processing tools.

Developed Python and SQL ETL jobs to prepare telecommunications data for reporting and analysis. Worked with Hadoop, Hive, and Spark to process large datasets from network and customer systems.

Developed Python backend components and REST APIs to exchange application and content data with relational databases. Created scripted ETL and scheduled processing tasks to prepare application data for operational reports.

Master of Science in Computer Science from East Texas A&M University, completed from 2017 to 2018.

Bachelor's degree in Industrial and Product Design from the Federal University of Technology, Akure, completed from 2008 to 2013.

Certification as a Tableau Designer, obtained in July 2021.