Susobhan Das

About Susobhan Das

Cloud Data Engineer with 5+ years of experience building scalable data platforms on Azure. Experienced in designing and maintaining ETL pipelines using Azure Data Factory, Azure Databricks, PySpark, and SQL for large-scale enterprise analytics.Currently working at Fractal Analytics, delivering data engineering solutions for global clients across telecom and CPG domains. Experienced in data ingestion, transformation, and orchestration using Medallion architecture with Azure Data Lake and Azure Synapse.Key expertise includes:• Azure Data Factory (ADF)• Azure Databricks & PySpark• Azure Data Lake Storage (ADLS)• ETL Pipeline Development• Data Migration & Reconciliation• Git & Azure DevOpsCertified Microsoft Azure Data Engineer (DP-203), Fabric Analytics Engineer (DP-600) and Fabrics Data Engineer (DP700) with a strong focus on building reliable, scalable, and automated data pipelines.

Experience

1. Data Engineer

   Fractal

   Jul 2021 — Present · Gurugram, IN

   Working as a Cloud Data Engineer building scalable data pipelines and analytics platforms on Azure for global enterprise clients across telecom and CPG industries.Key Responsibilities & Achievements• Designed and implemented scalable ETL pipelines using Azure Data Factory and Azure Databricks for enterprise data platforms• Developed PySpark-based transformations to process large-scale datasets stored in Azure Data Lake Storage (ADLS)• Implemented Medallion Architecture (Bronze, Silver, Gold layers) to structure data ingestion, transformation, and reporting pipelines• Built ingestion pipelines to load data from multiple source systems into Databricks external tables and Azure Synapse for analytics and reporting• Performed data reconciliation and validation during migration from on-premises systems to Azure cloud• Identified and resolved data quality issues, pipeline dependencies, and scheduling problems• Automated workflows using Control-M scheduling and Azure Data Factory pipelines• Maintained version control and CI/CD processes using Git and Azure DevOpsProjectsTelstra (Australia’s Largest Telecom Network)• Led reconciliation of reporting datasets after migration from on-premises infrastructure to Azure cloud• Ensured accurate business rule implementation and reliable reporting data across enterprise pipelinesUnilever – Growth Momentum & Perfect Store Online (PSO)• Built data pipelines to ingest and transform datasets into Azure Data Lake Storage using PySpark and Databricks• Automated pipelines using Azure Data Factory orchestration• Scaled pipelines across multiple countries and improved data quality monitoringP & G – Lighthouse Project• Developed Databricks notebooks to ingest source data into Azure Blob Storage• Built Azure Function Apps (Blob-triggered and Queue-triggered) to transform and push data to client APIs

Education

• Vijayvergiya Bal Vidyalaya

  Intermediate, Science

  2013 — 2015

• GIET University Gunupur

  Bachelor of Technology, ECE

  2015 — 2019