Malik Akintola
Analytics Engineer
malikola223@gmail.comlinkedin.com/in/malik-akintolagithub.com/MalikAkintolamalikakintola.comLagos, Nigeria
Profile
Analytics engineer with three years of experience building data pipelines, data models and Power BI reporting. Works in SQL and Python for transformation and pipeline development, and on Microsoft Fabric from ingestion to report. First Class Statistics graduate, Microsoft certified Fabric data engineer and analytics engineer, and an experienced data instructor.
Experience
Data Analytics Engineer, Remita Payment Services (SystemSpecs)Jul 2025 – now
- Build and maintain SQL and Python pipelines that ingest, transform and model data from several source systems for reporting.
- Find and fix data quality gaps across those systems, so payments and operations reporting can be trusted.
- Tune queries and pipeline performance, manage access controls, and help monitor and debug production data processes.
- Turn reporting needs from the BI and analytics teams into technical specifications for the data platform.
Data Analyst, Standtech Digital SolutionsNov 2025 – Apr 2026
- Diagnosed performance bottlenecks in the company’s data layer and fixed them, making the application faster for its users.
- Worked with the product team to define analytical requirements and deliver insights that set product priorities.
Data Analyst, QucoonJan 2025 – Apr 2025
- Segmented a microfinance bank’s customers by churn risk from demographic and transactional data, using RFM analysis and risk profiling. The recommendations shaped its retention campaign.
- Built Power BI dashboards tracking cash inflows and outflows in real time, so the operations team could spot at-risk customers early.
- Traced recurring downtime on a client’s digital platform through its QA data, cutting incidents by 30%.
Data Analyst Instructor, Hagital ConsultingJan 2024 – Jan 2025
- Taught Excel, Power BI, SQL and Python to more than 600 learners, with the curriculum built around industry use cases.
- Built and automated Power BI and Google Sheets dashboards for learner performance and participation.
- Built a learner tracking and feedback system that cut manual admin work by 40%.
Data Analyst Intern, NITHUBApr 2023 – Dec 2023
- Built automated pipelines in Python and Power Query for pricing and market research.
- Modelled relational data into analysis-ready tables for internal teams.
- Built Power BI dashboards to monitor food price trends, cutting repeated analysis work by 55%.
Teaching and volunteering
Data Analytics Track Lead, Engineering Career ExpoOct 2023 – Aug 2024
- Led a team of three running the Data and Analytics track for the whole programme.
- Wrote all the Power BI teaching materials and taught 20+ students over eight weeks, with more than 80% completing.
Data Analytics Instructor, The Investment Society, University of LagosMay 2024 – Jun 2024
- Ran a multi-session analytics course for members, framing data concepts in the language of investment research.
Power BI Instructor, DSN AI InvasionJul 2023
- Wrote the syllabus and materials, lectured, and graded coursework. 85% of the class completed the course.
Selected projects
YouTube Analytics Pipeline, Data engineering2025
An automated pipeline that collects video and channel statistics for six YouTube channels, models them, and serves a Power BI report that refreshes itself in Microsoft Fabric.
Novacore Financial Report, Financial analysis2025
Three years of a SaaS company’s revenue, expenses and budgets, analysed in Power BI to explain a loss, show who the revenue depends on and set out a way back to profit.
Mortgage Portfolio Risk, Risk analytics2025
A risk score for every loan in a four-year mortgage portfolio, built in DAX from credit score, loan-to-value and loan-to-income, then used to find where the risk sits and who writes it.
Forggith Pharmaceuticals, BI development2023
A two-page sales and marketing report for a German drug manufacturer that sells through distributors, built to a client brief in the Foresight BI Power BI developer internship.
Education
BSc Statistics, University of Lagos2019 – 2024
First Class Honours, CGPA 4.73 / 5.0. Best Graduating Student, Department of Statistics.
Coursework: Statistical Modelling, Probability and Decision Theory, Time Series Analysis, Regression Analysis, Operations Research.
Certifications
Skills
- Platforms: Microsoft Fabric, Power BI, Excel (Power Query, PivotTables, VBA), Tableau, Google Analytics
- Languages: SQL (T-SQL, PostgreSQL, MySQL, Oracle), Python (pandas, NumPy, Matplotlib, Seaborn), DAX
- Data engineering: Azure Data Factory, dbt, Airbyte, Pentaho Data Integration
- Warehousing: Azure Synapse Analytics, Snowflake, SQL Server, BigQuery