Data Engineer with 2+ years of hands-on experience in designing, developing, and maintaining scalable data pipelines and analytics solutions across cloud platforms. Proven expertise in building end-to-end ETL/ELT workflows using Databricks, PySpark, Azure Data Factory, Azure Synapse, dbt, and Airflow. Strong command over SQL and Python for data transformation, performance optimization, and automation. Extensive experience working with Bronze–Silver–Gold (Medallion) architecture, incremental and full-load processing, data quality validations, and pipeline monitoring. Actively involved in migrating legacy SQL Server and Azure Synapse workloads to Databricks and dbt, ensuring logic parity, data accuracy, and optimized performance. Proficient in Azure and AWS ecosystems, version control using Git, and implementing CI/CD pipelines through Azure DevOps. Known for collaborating closely with business stakeholders, architects, and cross-functional teams to translate requirements into solutions
| ProfileType | Give Support |
| Primary Technology | Azure, Azure Data Factory, Azure Migrate, Databricks, ETL Testing, Power BI, PySpark, Python, SnowFlake, SQL Developer |
| Relavent Experiance | 6+ |
| Current Avalibility | Available |
| Mother Tongue | English |
| Gender | Male |
