Aditya Patidar

Background

About Aditya Patidar

Driven by Data, Built on Azure” If you’re ready to navigate through uncertainty, there’s growth on the other side. I’m Aditya Patidar — an Azure Data Engineer with a background in data analytics and computer science. I hold an MSc in Data Analytics from Oxford Brookes University and have hands-on experience delivering end-to-end data solutions on Azure. Specializing in cloud-native data engineering, I design scalable ETL pipelines using Azure Data Factory, Synapse, and Databricks (PySpark). I’m skilled in Delta Lake architecture, Medallion design, SQL optimization, and building real-time dashboards with Power BI. Technical Skills: • Python, SQL, PySpark • Azure Data Factory, Synapse, Databricks, Data Lake Gen2 • Delta Lake, CI/CD (Azure DevOps), REST APIs • Azure SQL, SQL Server, MongoDB • Power BI, Git Project Highlights: • Built modular ETL pipelines to ingest REST API & structured data into Delta Lake • Implemented Medallion Architecture with schema enforcement and Time Travel • Developed unified data warehouses in Synapse for analytical reporting • Delivered dynamic dashboards with Power BI for business stakeholders Core Strengths: • Full data pipeline lifecycle ownership • Strong debugging and data transformation skills • Bridging business requirements with technical solutions • Passionate about cloud technologies and continuous learning Based in Oxford, UK — open to collaboration, project discussions, and data engineering roles. Email: aditya001patidar@gmail.com GitHub: github.com/aditya001patidar LinkedIn: linkedin.com/in/aditya-patidar-3a20ab166