Josh Rathala
Business Intelligence & Data Strategy Leader | Domo, Power BI, SAC | Workforce Planning & Analytics | Cloud Data Integration | SQL | Python | Data Governance | Driving Insight-to-Action
- Role
- Software Engineer- Data Systems Engineer at Nexa Vertex
- Location
- Overland Park, KS, US
- LinkedIn followers
- 500 followers
About Josh Rathala
I am Computer Vision and ADAS Engineer passionate about applying AI, deep learning…
Experience
Software Engineer- Data Systems Engineer
Apr 2025 — Present · Olathe, KS, US
Deep experience with Domo or analogous platforms to built dataflows, dealt with scaling, governed usage. Led the implementation and governance of the Domo Business Intelligence platform, ensuring consistent, accurate, and timely data reporting across business units.Drove adoption and optimization of BI tools, including Domo and Power BI, through training, UAT, and performance improvement initiatives.Spearheaded data roadmap initiatives aligned with corporate goals, integrating multiple data sources via SQL, Python, and cloud ETL tools.Introduced analytics models supporting Workforce Planning in SAP Analytics Cloud (SAC) for forecasting and scenario modeling.• Designed and deployed AI-driven workflow agents integrating financial and operational systems using AppSheet, Dialogflow, and Power Automate.• Built intelligent process automation pipelines to handle invoices, reconciliation, and validation.Created custom Power BI dashboards visualizing production efficiency, downtime.Designed, developed, and implemented equipment integration software that captured real-time manufacturing data and streamed it into AVEVA PI for historical analysis and predictive maintenance.Collaborated with process engineers and OT specialists to design data models aligning with ISA-95 standards, ensuring seamless connectivity between PLC, MES, and ERP layers. Developed Power Apps solutions for automated reporting and maintenance ticketing, reducing manual data entry and improving communication between operations and maintenance.Supported data migration from legacy historians to PI System, ensuring validation, accuracy, and minimal production disruption.Partnered with manufacturing and IT teams to deliver software solutions that integrated sensor data with SQL and Azure data lakes, improving traceability and process transparency.Authored technical documentation, system diagrams, and process flowcharts in alignment with corporate SDLC governance.
Education
University of Central Missouri
Master's degree, Big Data Analytics and IT
National Institute of Technology Rourkela
Bachelor of Technology - BTech, Mechanical Engineering
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