Kenni Oladimeji

Lead Data analytics platform consultant for public sector, energy and automotive industry.

• Leading data engineering delivery teams through data transformation pipeline development, cicd
  pipeline developments and feature releases
• Steering client data architecture design workshops and creating clear definition of Data & AI platform
  requirement & adoption roadmaps
• Developing data ingestion from multiple cloud data sources and converting into relational models to
  facilitate business reporting amongst top level stakeholders, with both batch and streaming data.
• Delivering knowledge transfer training sessions to clients data analytics team
• Implementing best practices, providing guidance for data estate management, including data
  governance and security
• Delivering skills ramping up training curriculum for Microsoft Aspire University graduates
• Curating training contents and delivering tailored training sessions through the Microsoft advocates for
  Africa volunteering

Lead Data analytics and architectural role for Financial service companies & Public sector projects

• Leading client requirement gathering workshops, trainings, presentation & seminars
• Designing / implementing modern data analytics platform solutions
• Developing and maintaining data warehouse schematics, relational databases for data storage and
  data mining and transformations
• Pipeline development and monitoring on Datafactory, Databricks, Azure functions
• Working with big data analytics solution including Azure IoT Hub, Event Hub, Stream analytics.
  Deploying azure resources using terraform, configuring Azure devops ci/cd
• Mentoring junior Data analyst and apprentices
• Creating new hire requirements and participating in recruitment activities for data analyst roles

Advanced analytics / Power Bi consultant for Portfolio Investment clients

• Engaging clients in data requirement, data analytics training and analytics design workshops.
• Creating and deploying Power BI reports on Power BI Premium environment.
• Designing data ingestion pipelines on Azure datafactory
• Mentoring junior Data analysts
• Creating presentations & training contents to the talent community at knowledge sharing sessions