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Segun Bakare

@segunbakare

Analytics Engineer building trusted data models, pipelines, dashboards and product analytics with rigorous testing and production ML.

Nigeria

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What I'm looking for

I’m looking to build production-grade analytics engineering—trusted data models, automated pipelines with rigorous testing, and data products (APIs/dashboards) that answer real business questions with zero manual intervention, using modern AI-augmented workflows.

I’m an Analytics Engineer with 4 years of experience building reusable data models, transformation layers, and automated pipelines that become the trusted source of truth for a business. I’m hands-on with dbt, SQL, Python, and BigQuery—taking analytics from raw data to production data products like APIs, dashboards, and automated reporting with rigorous testing and zero manual intervention. I also shipped a production XGBoost model for predictive analytics in a live sports data platform.

I’m comfortable turning ambiguous stakeholder questions into clear, agreed-upon metrics, and I bring an AI-augmented development workflow into modern build processes (Claude). Most importantly, I own data quality end-to-end—using automated testing, validation, and monitoring to drive a shift from manual spreadsheet reporting to production-grade analytics engineering.

Experience

Work history, roles, and key accomplishments

Analytics Engineer & Data Analyst

Linik Logistics Consultancy

Jan 2022 - Jan 2026 (4 years)

Built reusable dbt data models and transformation layers on BigQuery, turning raw operational data into a trusted, documented source of truth for business reporting. Designed automated end-to-end pipelines and owned data quality through testing and validation while delivering stakeholder dashboards and metrics.

DBT SQL Python BigQuery Data Modeling data transformation GitHub Actions CI CD Data Pipelines Data Validation Power BI Tableau REST APIs Monitoring XGBoost Machine Learning

Real-Time Sports Analytics Platform

Personal Project

Built and operated a production sports analytics platform with live API data ingestion, an XGBoost predictive model, and fully automated reporting with zero manual maintenance. Delivered end-to-end functionality from data contracts to live output consumed via a Google Sheets-based data product.

XGBoost Predictive Analytics Feature Engineering Google Sheets

NairaMetrics Economic Intelligence Platform

Personal Project

Built a three-layer dbt architecture on BigQuery to unify multiple external data sources into a single model. Delivered the data through Looker Studio and a custom React dashboard.

BigQuery DBT Data Modeling Data Integration Looker React Intermediate Models Mart Models

ShopFlow Analytics Pipeline

Personal Project

Built a production-style analytics pipeline on BigQuery using a layered dbt architecture with staging and mart models. Implemented RFM customer segmentation, automated 32 data quality tests, refreshed daily via GitHub Actions, and delivered an executive-facing Power BI dashboard.

BigQuery DBT Data Modeling Mart Models GitHub Actions Power BI

Education

Degrees, certifications, and relevant coursework

WorldQuant University

Master of Science, Financial Engineering

2026 -

MSc in Financial Engineering at WorldQuant University (in progress).

University of Ilorin

Bachelor of Science, Physics

2014 - 2019

Grade: 3.1

Activities and societies: Sport

BSc in Physics at the University of Ilorin. Built a strong quantitative and statistical foundation supporting rigorous causal and predictive modeling.