I hold a PhD in Energy Systems and bring over 8 years of experience across data engineering, business intelligence, and ERP analytics. I design scalable data solutions and turn complex data into clear, actionable insights that drive real business outcomes.
Data Engineering
Build scalable pipelines using Azure Data Factory, AWS Glue, and Databricks
Implement Medallion and Data Vault architectures for reliable, high-quality data
Develop transformations with Python, PySpark, SQL, and dbt
Integrate data from APIs, ERP systems, and databases into unified platforms
Optimize performance, cost, and reliability across cloud environments
Business Intelligence
Create dashboards in Power BI, Tableau, and QuickSight
Design semantic models and KPIs for self-service analytics
Translate business needs into clear, decision-ready insights
Enable real-time visibility into operations and performance
Epicor ERP (Kinetic)
Design and customize Epicor solutions using BAQs, BPMs, and Kinetic Application Studio
Build and optimize BAQs for operational and financial reporting
Develop and modify SSRS reports including invoices, job travelers, and inventory reports
Create dashboards for efficiency, sales, backlog, production, and inventory visibility
Resolve data issues such as duplication from supply and demand relationships
Support ERP to BI integration for accurate and efficient reporting
Cherechi N. earns an estimated $5.6k/mo. That's 3.8× the typical freelancer and more than 99.6% of everyone we track.