IKE ILOBA

Summary

Microsoft Certified Data & Analytics Engineer with extensive consulting experience delivering enterprise-scale analytics, data engineering, and Power BI solutions. Strong expertise across Azure Data Factory, Microsoft Fabric, Snowflake, SQL, and Power BI semantic modeling, with a proven ability to translate complex business requirements into scalable, high-performance data and analytics platforms.

Overview

years of professional experience

Certification

Work History

Senior Consultant, Data & Analytics / Business Intelligence

Capgemini

Delivered enterprise Power BI dashboards and reports supporting executive, operational, and analytical decision-making across multiple business domains.
Partnered with business stakeholders to gather requirements, define KPIs, and translate reporting needs into scalable analytics solutions.
Led migration of legacy BI solutions (Excel, SSRS, ad hoc SQL) to Power BI and Microsoft Fabric architectures.
Designed and optimized star-schema semantic models to improve report performance, usability, and scalability.
Developed complex DAX measures, calculation groups, and standardized KPI frameworks to ensure metric consistency.
Optimized dataset refresh performance using incremental refresh, aggregations, and upstream SQL transformations.
Integrated data from Snowflake, Azure SQL, SAP, and Salesforce while enforcing data quality and governance standards.
Implemented Row-Level Security (RLS) and workspace security models aligned with enterprise access requirements.
Supported Power BI deployment pipelines, workspace governance, app publishing, and production support activities.
Provided ongoing performance tuning, troubleshooting, and enhancements for production analytics solutions.

Consultant, Azure Data Engineer

Accenture

10.2021 - 05.2023

Designed, built, and maintained scalable data ingestion and transformation pipelines using Azure Data Factory for enterprise analytics platforms.
Developed parameterized and metadata-driven ADF pipelines supporting both full and incremental data loads.
Integrated data from Azure SQL, REST APIs, Salesforce, and Azure Blob Storage into analytical data stores.
Implemented robust error handling, logging, alerting, and monitoring strategies to improve pipeline reliability and observability.
Optimized pipeline orchestration, dependency management, and data movement performance to meet SLA requirements.
Collaborated closely with data architects, BI developers, and analytics teams to align data engineering outputs with downstream Power BI needs.
Supported production data pipelines by troubleshooting failures, performing root cause analysis, and deploying enhancements.
Participated in data platform modernization initiatives, ensuring alignment with Azure best practices and security standards.

Education

B.Sc. - Business Administration & Management

Ambrose Alli University

Nigeria

Associate Degree - Computer Science

Skills

Power BI & Semantic Modeling
DAX Studio & Tabular Editor
Azure Data Factory (ADF) & SSIS
Azure SQL & Azure Synapse
Microsoft Fabric

Snowflake
Star Schema & Dimensional Modeling
Performance Optimization
Enterprise BI & Data Platform Modernization