Summary
Timilehin Ayoade is a Data Engineer with four years of hands-on experience building scalable, production-grade data pipelines and enterprise data warehouses across Azure, Snowflake, and AWS. He designs end-to-end ETL/CDC solutions—using ADF, Databricks, Synapse, Debezium, and Kafka—that have cut processing latency and improved data availability for analytics and AI/ML use cases. His background includes modeling complex blockchain datasets with dbt for MetricsDAO and deploying ComposeDB-based blockchain storage on AWS, showing a pragmatic blend of Web3 and traditional data engineering. Comfortable optimizing Spark jobs and SQL at scale, he has repeatedly boosted query performance and reduced operational toil via automation and CI/CD. Based in Nigeria, Timilehin pairs strong problem-solving skills with a track record of enabling 500+ analysts and contributors to access reliable, analytics-ready datasets. An often-overlooked strength is his experience bridging infrastructure, data modeling, and monitoring—making him effective at both building pipelines and ensuring their long-term reliability.
4 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, second class, Bachelor of Technology - BTech, Computer Science, second class at Federal University of Technology Minna