Olajide Abdullateef
Data Engineer | Data Analyst
Projects
Native SQL Data Pipeline : Incremental Processing in Cloud Data Warehouse
This project delivers a fully incremental data pipeline built entirely with native SQL—functions and triggers— within a cloud data warehouse, removing the need for external orchestration tools. The pipeline follows a multi-layered architecture (Raw → Silver → Gold → Dashboard) optimized for efficient monthly data processing and analysis.
View ProjectNBA Playoff Outcome Prediction Pipeline
This project analyzes NBA team and player statistics from the 2022–2023 and 2023–2024 seasons to generate predictive insights for the 2024–2025 NBA playoffs using comparative and statistical analysis. Leveraging Snowflake, DBT and PowerBi, the result is a scalable analytics workflow supporting predictive insights and data visualization.
View ProjectUnlocking Business Insights: The Analytics Hackathon 2025
This project presents an in-depth analysis, revealing key insights into sales performance, customer behavior, product trends, and regional business drivers for a global manufacturing company. Leveraging SQL, data modeling, and visualization techniques, I examined four years of transactional data to identify high-value insights backed by evidence and clear business reasoning. The analysis highlights revenue patterns, product demand and customer engagement, providing data-driven recommendations to enhance sales efficiency, inventory management, and strategic decision-making.
View ProjectHoliday Sales Impact Analysis: Uncovering Patterns in consumer Demand
This project examines the impact of four major holidays—Christmas, Super Bowl, Labor Day, and Thanksgiving—on sales performance, aiming to uncover unique patterns in consumer demand. By analyzing sales data, the project provides actionable insights to inform inventory planning, marketing strategies, and business decision-making, helping businesses capitalize on holiday-driven opportunities.
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