Kishan Patel
Programmer @Acres Enterprises Ltd.
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WORK HISTORY
Programmer @Acres Enterprises Ltd.
Etobicoke, ON, CA
Acres Enterprises: Locally owned and operated construction company with over 40 years of experience in general, industrial, and civil construction. Serving Kamloops, B.C. and surrounding regions. Committed to quality and delivering excellence through cutting-edge technology, including fully automated equipment and GPS drones.> Responsible for end-to-end data projects, from requirement gathering and architecture design to development, deployment, and optimization of enterprise data solutions.> Led full-cycle implementation of scalable data pipelines, integrating multiple data sources to enhance analytics and business intelligence.
EDUCATION
CQUniversity
Master of management for engineers
Gujarat Technological University
Bachelor of Engineering - BE
ABOUT KISHAN PATEL
Results-driven Data Analytics Engineer with over 6 years of experience designing and implementing cloud-native, scalable data solutions that enable smarter, faster business decisions. I specialize in Azure Data Services, Databricks, Power BI, SQL, and Python, with a strong focus on automation, performance optimization, and cross-functional collaboration. Key Highlights:• Architected and deployed end-to-end, metadata-driven pipelines using Azure Data Factory, enhancing workflow automation and data scalability• Designed and modeled Fact/Dim tables with complex structures (Struct, Map, Array) to support robust, historical analytics• Integrated REST APIs and diverse data sources to build centralized Master Data Sets, improving data consistency across systems• Delivered interactive, self-service dashboards using Power BI and Tableau, empowering real-time, data-driven decisions across business units• Automated data transformation and orchestration with SQL and Python, significantly reducing manual efforts and improving accuracy Certifications:Microsoft Certified – Azure Data Engineer Associate (DP-203) and Azure Data Fundamentals (DP-900)I thrive in cross-functional teams, aligning data architecture with strategic business objectives to deliver solutions that not only meet technical requirements, but also drive meaningful business outcomes.
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