Takum Emmanuel

Results-driven Business Intelligence Developer, Senior Reporting Analyst and Microsoft Fabric Data Engineer with extensive experience designing scalable BI solutions, dimensional data models, Power BI semantic models and enterprise reporting platforms. Specialist in translating complex business requirements into actionable insights through advanced data modelling, Power BI, SQL Server, T-SQL, Power BI, Tableau, R, Python and Advanced DAX development. Proven track record of partnering with senior stakeholders to shape reporting requirements, challenge assumptions and maximise business value through data-driven decision making.

Highly experienced in designing star schemas, developing performant Power BI datasets, implementing Row-Level Security (RLS), building ETL solutions using Power Query, Dataflows and Datamarts, and delivering enterprise reporting solutions using Agile methodologies. Recognised for simplifying complex data into compelling business stories that drive operational efficiency, regulatory compliance and commercial performance across Housing, Utilities, Healthcare and Financial Services sectors.

Senior Reporting Analyst & Microsoft Fabric / Power BI Developer - Red Kite Community Housing

(2024-04)

• Lead the design and development of enterprise Power BI dashboards and reports supporting strategic, operational and regulatory decision-making.
• Translate business requirements into scalable reporting solutions using dimensional data modelling and advanced DAX measures.
• Design and maintain Microsoft Fabric Data Warehouse and Lakehouse solutions using Dataflows, Pipelines and ETL processes.
• Develop optimised semantic models using star schema principles to improve report performance and usability.
• Implement Row-Level Security (RLS) and governance controls to ensure secure and compliant data access.
• Partner with senior stakeholders across Housing, Finance, Asset Management and Customer Services to define requirements and maximise business value.
• Deliver reporting solutions using both Waterfall and Agile methodologies and continuous improvement practices.
• Optimise Power BI report performance through model tuning, DAX optimisation and query performance improvements.
• Delivered enterprise-wide Repairs and Regulatory Compliance dashboards, reducing manual reporting effort by over 40%.
• Designed scalable data models and automated ETL pipelines within Microsoft Fabric supporting self-service reporting.
• Take on Data Architect responsibilities, leading data warehouse design, architecture and migration initiatives, mentoring/training of Insights Team on Power BI reporting and Fabric, and stakeholder-facing delivery experience.

Data Service Lead - Thames Water

(2022-12 - 2023-07)

• Managed Customer Programme reporting products across Azure Data Warehouse, Data Lake, Microsoft Fabric and Power BI platforms.
• Developed SQL Server and T-SQL reporting solutions supporting smart metering analytics and operational performance monitoring.
• Designed scalable dimensional models for reporting and analytical workloads.
• Collaborated with stakeholders to define KPIs and reporting requirements across customer operations.
• Built and optimised ETL processes to improve data quality, consistency and reporting efficiency.
• Supported the development of centralised Data Warehouse and Lakehouse architecture.
• Automated complex reporting processes using T-SQL, reducing manual effort by 50%.
• Improved data accuracy and stakeholder confidence through enhanced data governance and reporting controls.

NHS Long COVID Data Analytics Bank Manager - NHS England (Arden & GEM CSU)

(2022-07 - 2022-12)

• Gathered reporting requirements from clinical and operational stakeholders.
• Designed Power BI dashboards and analytical reports supporting patient pathway and rehabilitation programmes.
• Developed SQL-based analytical datasets using T-SQL and Spark SQL.
• Built performance-focused data models and reporting solutions for clinical outcomes analysis.
• Produced stakeholder-ready insights and forecasting models for executive decision-making.
• Developed robust analytical datasets enabling faster evidence-based decisions.
• Designed ERDs and relational data structures improving reporting capability and data integration.

Lead Insights Analyst - Sovereign Housing Association (SNG)

(2019-03 - 2021-02)

• Developed Power BI dashboards and self-service reporting solutions for operational and strategic stakeholders.
• Built complex DAX measures, calculated tables and time intelligence solutions supporting business performance analysis.
• Designed dimensional data models and reporting datasets using SQL and Azure Data Warehouse.
• Partnered with business leaders to shape requirements and challenge reporting approaches to maximise value.
• Created analytical datasets through SQL views, stored procedures and ETL processes.
• Led organisation-wide adoption of Power BI, increasing analytical capability by 30%.
• Delivered insight-led dashboards contributing to a measurable reduction in tenant arrears.

MSc - Data Science - University of East London

BSc - Physics & Technology - University of Maroua, Cameroon

Diploma of Higher Education - Physics - University of Bamenda