Bayo Adejare is a Data Engineer with 11 years’ experience building scalable, reliable data pipelines and data warehouse solutions for enterprise clients from New York. He combines strong SQL and Python expertise with hands-on AWS/Azure experience to migrate, optimize, and automate ETL workflows, including a notable migration from on-prem SQL Server to AWS Redshift that improved performance by 15%. Bayo has led small cross-functional teams to deliver cost-saving data platforms—reducing operating costs by 25%—and designed centralized repositories and Power BI integrations that cut vendor evaluation time by 40%. He publishes practical articles on big data integration, transformation, and orchestration, and holds multiple certifications in SQL, Python, and machine learning alongside a BS in Engineering from Penn State. Known for turning messy spreadsheets into single sources of truth, he increased data accuracy by 55% through automation and emphasizes pragmatic, repeatable solutions that scale.
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