Position: BI Developer / Data Engineer / Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 4

Designed and Implemented a real time data pipeline using Azure Stream Analytics and Events Hub to process telemetry data and Sales Order Delivery data from SAP and other 3rd party ERP Solutions into Azure Data Lake Storage Gen2 and Azure Synapse Analytics.
Maintained data pipeline uptime of 99.8% while ingesting streaming and transactional data across 8 different primary data sources using SSIS, Azure Data Factory and Php.
Designed and implemented Enterprise Information Management (EIM) using Microsoft Master Data Services (MDS) a nd Data Quality Services (DQS) to integrate master data assets across various ERP systems within Sales and Marketing, HR, Supply Chain and Finance improving Enterprise BI Reporting accuracy and credibility by about 90%
Designed and Implemented Enterprise Data Warehouse (EDW) using Microsoft BI Stack to integrate different business datasets, build analytics models in Analysis Services to enable enterprise and Self Service BI Reporting across all units of the business
• Successfully installed and configured Power BI Report Server for in house reporting and migrated over 350 reports from Power BI Service to the inhouse report server helping to eliminate cost of purchasing Power BI PRO Licenses for users
• Authored different Reports and Dashboards using Microsoft Power BI to help business decision makers derive insights from their business data and make better decisions
• Developed a daily sales volume and revenue tracking dashboard to help Sales team and management monitor sales at zonal and regional levels
• Commended for ensuring consistent adherence to proper protocols and procedures according to the standards of practice of the organization
• Played major role in ensuring integrity of multi million worth of equipment avoiding downtime, maintained visual aspects of site and enhanced the safety of members
Ayobami is an experienced BI Developer, Data Engineer and Analyst. I have over 4 years work experience as a Data Warehouse and BI Developer and Analyst using the Microsoft BI Stack (SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS),  SQL Server Reporting Services (SSRS) and Power BI) to design and build enterprise reports and dashboards across Banking, Financial Services Industry to Investments, Retail and Manufacturing Industries.  I'm also a Microsoft Certified Data Analyst and Data Engineer Associate with years of experience working with SQL Server and Power BI.  I possess a Microsoft Certified Solutions Associate in SQL 2016 Business Intelligence Development certification and I'm equally Microsoft Azure, Azure Data fundamentals and Microsoft Certified Trainer certified. His core competencies are DAta Integration, Database Development and Modelling, Business Intelligence Development and Reporting, ETL Development, Data Analysis and Visualization.

Projects:
- Business Intelligence Solution – Implementation of On-premises Enterprise Datawarehouse
- Implementation of Azure Enterprise Data Warehouse
- Operational data store migration from on-premise to Azure
- Periodic Performance Reports on Power BI Desktop

Role - BI Developer/Analyst
• Design and build ETL pipelines to automate ingestion of data from various sources.
• Maintain and optimize existing ETL workflows, data management and data query components
• Maintained business intelligence models to design, develop and generate both standard and ad-hoc reports.
• Generated reports and dashboards for internal and external customers for business performance monitoring and business decision making.
• Participated in project planning sessions with project managers, business analysts and team members to analyze business requirements and outline the proposed solution.
• Worked with Project Managers to develop and execute project plans within assigned schedule and timeline.
• Managed the development, maintenance, and integration of enterprise data warehouse and data reporting solutions.
• Update business intelligence and data warehousing solutions to meet changing business needs.
• Coordinated ETL processes to retrieve data from various data sources.