Emmanuel I.

Data Engineer Consultant @CGI

CA

Led the design and deployment of a robust data pipeline architecture using Azure Data Factory, Delta Lake, and Spark, enabling a 30% reduction in data processing time for downstream analytics.Consulted cross-functional teams to modernize legacy ETL processes, implementing cloud-native solutions on Azure that improved data accessibility and reduced operational overhead by 25%.Engineered real-time and batch data ingestion workflows to unify offline and online transaction data, supporting high-availability reporting in Power BI with near-zero latency.Developed and exposed processed datasets via RESTful APIs to support data consumption by external applications and reporting services in a secure and scalable manner.Advised stakeholders on data governance best practices, integrating Azure Key Vault for secret management and automating monitoring and alerting to proactively detect pipeline issues.Delivered data modeling and transformation logic using Python, DBT and SQL, enhancing reporting accuracy for workforce analytics across business domains.Spearheaded the implementation of scalable, metadata-driven dataflows, allowing new data sources to be onboarded with minimal rework, accelerating business insight generation.Partnered with business analysts and client stakeholders to define data requirements and KPIs, translating complex needs into scalable, production-ready data solutions.