Kachi O.

Most companies already have data. What they often lack is a reliable system that turns that data into something consistent, accurate, and usable across the business. I help companies move from fragmented data and manual reporting to structured analytics systems by building pipelines, defining metrics, and creating scalable data models that teams can actually trust. Whether you're trying to understand revenue performance, customer behavior, marketing ROI, or operational efficiency, I focus on making sure your data is not just available, but clean, well-modeled, and decision-ready. With 3+ years of experience in data analytics and business intelligence, I now work at the intersection of analytics and data engineering: building modern data workflows using tools like dbt, SQL, and cloud data warehouses. Recent Impact • Built structured data models and transformation layers that standardized reporting across teams and improved consistency in key business metrics • Designed analytics workflows that reduced manual reporting effort and improved data accessibility for stakeholders • Developed cohort and behavioral models that clarified retention patterns and supported more targeted growth strategies • Identified and resolved data inconsistencies across multiple sources, improving trust in reporting and reducing discrepancies How I Help Businesses ✔ Build and optimize ELT pipelines for clean, reliable data flow ✔ Design data models (fact/dimension tables, star schemas) for scalable analytics ✔ Implement dbt transformation layers for structured, maintainable data workflows ✔ Define and standardize business metrics across teams ✔ Validate and reconcile data to ensure accuracy and consistency ✔ Write optimized SQL for large datasets and complex transformations ✔ Build dashboards on top of well-structured data models ✔ Translate business questions into structured data solutions Types of Projects I Work On • End-to-end analytics engineering (raw → staging → marts → dashboards) • dbt project setup, modeling, testing, and documentation • Data pipeline orchestration (Airflow, GitHub Actions, or similar tools) • Data modeling for analytics (fact tables, dimensions, metric layers) • Marketing and product analytics infrastructure • Revenue and performance analytics systems • Data validation, testing, and reconciliation workflows Tools & Technologies Data Warehousing & Modeling BigQuery dbt (modeling, testing, documentation) SQL (advanced: joins, CTEs, window functions) Orchestration & Workflow Apache Airflow (learning / applied) GitHub Actions (pipeline automation) Analytics & BI Power BI Looker Studio Data Processing & Analysis Python (pandas, matplotlib, seaborn) Excel / Google Sheets Data Sources GA4 (event-level data) CRM systems Marketing platforms SQL databases Google Cloud Platform Portfolio Projects Modern Data Stack Project (dbt + BigQuery) Built a structured analytics pipeline using dbt to transform raw data into staging and mart layers, enabling scalable reporting and consistent metric definitions Marketing Data Pipeline & Performance Analysis Integrated GA4 and campaign data into a unified dataset for evaluating conversion, attribution, and ROI Customer Cohort & Retention Modeling Developed cohort-based models to track lifecycle behavior and identify high-value segments Operational KPI Tracking System Designed a centralized reporting system to monitor performance and support leadership decision-making Why Clients Work With Me • I build systems, not just reports • Strong focus on data accuracy, validation, and testing • Ability to structure messy, real-world data into usable models • Experience working with modern data stack tools (dbt, warehouses, pipelines) • Clear communication across technical and business teams • Solutions designed to scale as your data grows My Approach 1️⃣ Understand the business problem and data landscape 2️⃣ Structure and clean raw data sources 3️⃣ Build transformation layers (dbt / SQL models) 4️⃣ Define metrics and validate data accuracy 5️⃣ Deliver reporting systems and insights that support decisions If you're looking for someone who can not only analyze your data but also build the systems that make your data reliable, scalable, and easy to use, feel free to reach out. Tell me about your data stack and what you're trying to achieve