Solid background in the design, development, enhancement and maintenance of large database systems. Extensive experience in database development and visual interface design. Proficient in implementing enterprise-wide cloud-based solutions that deliver actionable platforms to the business.• Strong experience in delivering Azure Cloud solutions, which directly aligns with the requirements for designing, developing, and maintaining data pipelines using Azure Databricks and Azure Data Factory.• Implemented Data Warehouse based on Star Schema Architecture (Facts/Dim.) In New Microsoft Platform – Azure Data Fabric from scratch.• Experience with Azure Databricks and Azure Data Factory demonstrating a solid foundation in the core tools needed for the Databricks Developer role.• Proficiency in Python with data extraction, transformation, and loading.• Understanding of DevOps practices and tools, along with experience in CI/CD pipelines and infrastructure as code (IaC) for integrating and automating DevOps practices into the data engineering workflow.• Strong analytical and problem-solving capability to troubleshoot and optimize data workflows for performance, reliability and scalability. • Strong learning competency indicates the candidate’s ability to adapt to new tools and methodologies, which is important in the data engineering field.• Executes tactical components to achieve deliverables set by clients, covering both design through implementation and data pipeline development.• Migrates On-Premises resources to cloud tenants and troubleshoots Azure issues.• Implemented and managed Delta Live Tables for real-time data processing and streaming.• Has provided subject matter expertise, technical guidance, training, and work direction in both cloud and data engineering tasks.• Developed and maintained data visualizations and reports using Power BI, Tableau.
Listed skills include Microsoft Sql Server, Erp, Crystal Reports, Integration, and 40 others.
