Chikere tobi

I’m a Senior Data Engineer with 8 years of experience building scalable data pipelines for EdTech applications. My focus on software integration engineering and data platform integration helps teams develop optimized data architectures.

I designed and implemented pipelines using Python and RESTful APIs, leveraging JSON Schema, Avro, and Protobuf for data modeling. At Wayfair, I established data integration pipelines that supported 3 prioritized cohort groups and delivered 10x increased data ingestion rate.

I modernized company-wide data architecture and enabled data enablement across multiple teams and services, supporting 4-5 simultaneous app engagements with a 99.9% uptime. I also improved performance by refactoring Python and optimizing database queries—reducing latency by 150ms—and strengthened data consistency by reducing data errors by 80% through automated data quality checks.

I’ve led engineering teams in adopting Python SDKs for enhanced data enablement and introduced frameworks that improved data accuracy to a 95% data quality rate while saving 10 hours/week in manual validation. Across distributed systems work, I’ve improved query performance by 30% and shipped scalable platforms (including a Medallion architecture-based data platform) within 6 months.