Vishwajeet Bhangare

Handled optimization of Snowflake workloads and engineered automated Azure Data Factory pipelines while partnering with stakeholders for production-grade solutions.​ 1.Snowflake pruning, clustering, query tuning 2.ADF pipelines for CSV header generation 3.Metadata-driven orchestration, SLAs 4.Warehouse models for reporting needs

Led automation of dbt ELT pipelines, consolidated data sources into Microsoft Fabric, and established best practices across modern data tools.​ 1.dbt pipelines with data quality tests 2.Multi-cloud consolidation to OneLake 3.Databricks Delta partition pruning 4.Version control, ELT standards

Managed self-service analytics through Snowflake data marts, scaled ADF dynamic lookups, and built maintainable transformation layers. 1. Secure Snowflake data marts, refreshes 2. Query optimization (clustering/views) 3. Metadata-driven ADF orchestration 4. Multi-tool transformation pipelines

Oversaw security governance implementation, optimized Synapse/Databricks performance, and delivered data lineage via Unity Catalog. 1. Column/row-level security, masking 2. Synapse hash distribution optimization 3. Databricks bucketing, partitioning 4. Unity Catalog lineage delivery 5. Data skew resolution strategies

Drove replatforming of SQL Server ETL, architected secure ADF-Databricks pipelines, and optimized Synapse for production reliability. 1. SSIS/T-SQL legacy modernization 2. Event-driven ADF + Databricks pipelines 3. Synapse hash distribution tuning 4. Exception handling, Key Vault 5. Cross-functional requirements delivery

Directed optimization of SQL Server procedures, introduced PySpark transformations, and modernized ETL to cloud-native architectures. 1. SQL Server stored procedure optimization 2. Databricks PySpark scalability 3. ADF v1/v2 workflow orchestration 4. SSIS to cloud ETL migration