Mohan Devang
Immediate joiner. Data Engineer with 3 years of experience in ETL/ELT, Databricks, and Azure. Expert in Python, SQL, PySpark, and Medallion Architecture. Skilled in Microsoft Fabric and Unity Catalog to optimize large-scale data pipelines.
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About
Dedicated Data Engineer with over 3 years of experience specializing in ETL/ELT development across eCommerce, Supply Chain, and Finance domains. Proficient in SQL, Python, and PySpark, with hands-on expertise in Databricks and Azure platforms, I have successfully delivered scalable data pipelines and optimized Lakehouse architectures. My notable achievements include reducing processing time from 4 hours to just 20 minutes during an Azure Synapse migration and managing over 10+ TB of data with significant performance enhancements.
With a strong foundation in data modeling and governance, I excel in engineering solutions that ensure efficiency and data quality, earning recognition as a Top Performer for maintaining high SLA compliance on critical data workflows.
Experience
- Migrated Azure Synapse platform to Databricks, reducing processing time from 4 hours to 20 minutes through efficient Git CI/CD integration.
- Contributed to data modeling for an Enterprise Data Warehouse, effectively managing over 1 TB of transactional data to ensure high availability and performance.
- Led the transition of eCommerce ETL workflows from SQL Server and ADF to a modular Databricks Lakehouse, streamlining curation steps from 27 to 10.
- Managed and processed over 10 TB of data, implementing Spark performance optimizations to enhance processing efficiency and scalability.
- Established Unity Catalog for centralized governance while automating provisioning with Terraform, ensuring secure and repeatable infrastructure deployments.
Education
Bachelors of Engineering in Electronics and Communication.
