Atinuke A.


490 dollar

My experience


YoubloomJanuary 2020 - Present

- Organize, aggregate and clean data (relating to users, fans, artise etc) and develop ETL data pipeline for use by all the analytics metric team 
- Perform data analysis/mining to provide communication and consumer insights, design and implementation of the right metrics and targets using several analytics tools/dashboard for visualization and reporting 
- Work with the social media team to identify/develop data-driven marketing strategy developed through intensive social media analytics 
- Analyze and build report on social chatter, business roadmap, sentiment, reach, engagement and audience growth as related to artists and their content, enforce use of essential social metrics / KPIs 
- Lead strategic design, development, and maintenance of the business intelligence dashboards and reporting tools needed to support sales, marketing, and product teams
- Analyze and report on improvement efforts, such as marketing campaigns and pricing changes, identify additional opportunities 
- Train the metric team on BI and review BI reports 
- Act as a trusted advisor on BI and data related issues

Grundfos Holding A/SOctober 2019 - April 2020

- Actively participate in stakeholders meetings, sprint reviews and retrospectives using Azure DevOps. 
- Build robust scalable data pipelines using azure data factory 
- Implements message communication among micro services using azure service bus 
- Deploy infrastructure using arm templates and continuously deploy applications on Azure
- Design comprehensive architecture of the application to be implemented 
- Orchestrate workflow of application processes using logic app

Integration Alpha GmBHApril 2019 - October 2019

- Developed in-depth understanding of underlying data, data structures and business uses of data to provide clear data visualizations and analysis 
- Managed product backlog and ensured grooming and refining of backlog items in collaboration 
- Developed smart reporting on the DevOps implementation by using advanced technologies and agile methodologies 
- Developed hands-on skills in configuration management, CI/CD concepts and tools (Travis, Jenkins, Kubernetes) 
- Developed working experience of cloud technologies and container orchestration platforms (Azure and Google cloud)

Circuit Systems and Network Communications Ltd.November 2011 - December 2017

Specific responsibility as BI engineer 

- Efficiently mapped, transformed and analyzed sales datasets provide actionable insights and identified and interpreted patterns in data 
- Developed new and enhance existing process performance measurements in close collaboration with internal performance experts 
- Assisted in building and modeling workflows within analytical tools and on a variety of big data platforms as required by business need 
- Translated the business requirements into technical requirements 
- Built/tested data models to make forecasts by regression, time-series etc 
- Maintained back-end setup ensuring that data are loaded, cleaned and visualized in a reliable and efficient way 
- Maintained and developed complex data warehouses for use by BI team 
- Managed full development life cycle, from requirement gathering to implementation of BI solutions 
- Design and develop several sales data flows that will help monitoring large portfolio transactions 
- Built and generate analytics reports and score card to aid decisions 
- Worked with SSIS/SSRS-packages, Data Factory, Azure Data Lake SQL, SSAS and Microsoft Power BI 
Specific responsibility as Data Integration engineer

- Designed data models and pipelines, and assisted with the holistic architecture that consolidates, loads and cleans data 
- Designed and integrated data flow between cloud and data warehouse 
- Developed and maintained software applications and ETL processes/pipelines with multiple internal and external data sources 
- Maintained and developed of data processing pipelines 
- Designed and supervised the design of data models and data integration 
- Designed, implemented, and maintained our high-volume data pipelining and orchestration platforms 
- Maintained existing data infrastructure built in the Azure cloud 
- Evaluated system alternative with respect to storage size, EC2 instance and RDBMS and also assessed the risks and costs

CITZAR LTD (IBM Premier Partner)July 2009 - October 2011

- Gathered and documented requirements & analyzed user stories 
- Implement the company’s new data strategy and data architecture 
- Modelled, mapped, transformed and analyzed dataset 
- Identified/investigated trends and pattern, and anomalies in the data 
- Built/tested data models to make forecasts by regression, time-series etc 
- Designed, and developed scalable/reliable and secure data warehousing arch. and data integration/processing pipelines. 
- Design, build and deploy BI solutions and evaluate and improve existing BI solutions
- Modelled and warehouse data using IBM Cognos 8 framework manger & transformer and business intelligence 
- Moved, combined, transformed and exposed data including framework and API creation
- Generated scorecard & reports using IBM Cognos 8 BI and report studio. 
- Generated report using SQL Server Reporting Services (SSRS) Integrated, maintained and supported business applications 
- Designed and built modern data pipelines 
- Built analytics reports that utilized the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics

My stack

Windows Server, UNIX, Troubleshooting, Teamwork, Tableau Software, SSRS, SSIS, SQL Server Reporting Services, SQL Server Integration Services, SQL, Software Development, Social Media, SharePoint, Scrum, Risk management, Python, Project Management, Problem Solving, Power BI, Oracle, MySQL, Microsoft SQL Server, Microsoft Excel, Leadership, Kubernetes, Jenkins, IIS, Git, ETL, Docker, DevOps, Data Warehouse, Data processing, Data analysis, Crystal Reports, Continuous Integration, Continuous Deployment, Cognos Impromptu, Cloud Computing, Business Strategy, Business Intelligence, Business Analysis, Big Data Architecture, Big Data, Analytics, Agile Methodology