Anwaruddin Mohammad

• Experienced data engineer with 5+ years of experience building and deploying cloud-native, data-intensive solutions across Azure, AWS, and GCP.
• Designed and deployed high-performance data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
• Involved in large-scale data migration and ETL modernization projects from on-prem to cloud.
• Built scalable ETL/ELT workflows to handle structured and semi-structured data using Python, Spark, and SQL.
• Enabled business reporting and analytics by delivering clean, reliable, and timely datasets.
• Hands-on experience with Azure Data Lake, Azure SQL, and secure access configurations using Key Vault and RBAC.
• Built CI/CD pipelines using GitHub Actions and Azure DevOps for automated testing and deployment.
• Strong understanding of data modeling, performance tuning, and schema design.
• Proficient in developing visualizations with Power BI, Looker, and Tableau.
• Experience in converting legacy reports to more contemporary programs such as Crystal Reports, Business Objects, MS Excel, MS Access, and SQL, and condensing number of reports to simplify processes.
• Demonstrated ability to work both in independent and team-oriented environments with well-developed organizational
• Strong experience in conducting User Acceptance Testing (UAT) and documentation of Test Cases and in designing and developing Test Plans and Test Scripts.

I hold a bachelor's degree in electronics and communication engineering and a master's Degree in marketing as a specialization from Jawaharlal Nehru Technological University and a postgraduate certificate in information technology and solutions from Humber Institute of Technology and Advanced Learning. My education provided a strong foundation in programming, databases, data structures, and cloud technologies that directly support my work as a data engineer.