Adarsh Bada Jena

Azure Data Engineer with 2+ years building production ETL/ELT pipelines and Medallion Architecture (Bronze/Silver/Gold) lakehouse solutions using Azure Data Factory, Azure Databricks, Microsoft Fabric, Azure Synapse Analytics, and ADLS Gen2. Skilled in Python, PySpark, SQL, and Spark SQL for large-scale ingestion and transformation. Experienced in Unity Catalog governance, RBAC, metadata-driven pipeline design, automated data validation frameworks, incremental loading, data modeling, and CI/CD via Azure DevOps.

Delivered e-commerce data platforms and Power BI dashboards supporting business decision-making.

Data Engineer at CloudSyra LLP (2024-08 – Present)

• Built and optimized 8+ ETL/ELT pipelines in Azure Data Factory ingesting data from 5 heterogeneous sources, reducing manual data-handling effort by approximately 30%.
• Architected scalable cloud data solutions on ADLS Gen2, Microsoft Fabric, and Azure SQL Database supporting enterprise data integration across 3 downstream business teams.
• Developed PySpark applications in Python to cleanse and transform structured and semi-structured datasets, processing close to 1 million records daily.
• Designed star-schema data models (fact/dimension tables) in Azure SQL Database powering 4 Power BI reports used by around 15 business stakeholders.
• Improved query performance by roughly 25% using SQL/Spark SQL tuning, while maintaining version control via Git/GitHub and validating data accuracy across ETL workflows.

Bachelor of Technology in CSE – C V Raman Global University (2021-05 – 2025-05)