Niraj Borse

Background

About Niraj Borse

Welcome to my LinkedIn profile! I am a data engineer with 11+ years of experience helping organizations turn raw data into meaningful insights. I’ve worked across banking, mortgage, and financial services, building scalable data solutions both on-prem and in the cloud. I specialize in designing and optimizing ETL/ELT pipelines using tools like Azure Data Factory, Databricks, Talend, DBT, and IBM DataStage. Whether it’s migrating legacy systems to modern cloud platforms, working with big data in Azure or Snowflake, or automating complex workflows — I love solving tough data problems and improving the way teams use data I’m hands-on with Python, SQL, and cloud-native tools, and I enjoy collaborating with cross-functional teams to deliver high-impact solutions. I’m also a big believer in performance tuning, clean architecture, and building data pipelines that just work — efficiently and reliably. Cloud Platforms: Azure - Data Factory, Synapse, Data Lake, Databricks, Blob Storage, Logic Apps Languages: Python, SQL, PySpark, Unix Scripting Data Tools: Azure SQL DB, Cosmos DB, Delta Lake, Azure Analysis Services, Snowflake Database: Microsoft SQL server, Oracle, Netezza, IBM DB2 ETL / Orchestration: Azure ADF, DBT, IBM CloudPak, IBM Datastage, Talend Open Integration Studio Big Data & Analytics: Databricks, Synapse Version Control / CI-CD: Git, Azure DevOps Scheduling tools: Control-M, Crontab, Autosys Let’s connect if you’re working on anything exciting in data, cloud, or analytics!