Aniket Hibare

I’m an Azure Data Engineer with “Over 5 years of IT experience” designing, developing, and maintaining enterprise data engineering solutions on Azure Cloud. I focus on building reliable pipelines end-to-end—from ingestion to transformation to analytics-ready datasets—while keeping governance and performance at the center.

I’ve delivered production-impact work such as “Automated pipeline monitoring, logging, and alerts in ADF and Databricks,” and I’ve migrated “on-premises SQL Server/SSIS workloads to Azure-based data platforms” with “minimal downtime.” I also build real-time ingestion using “Event Hubs, Stream Analytics, and Databricks Structured Streaming,” so teams get timely, trustworthy data.

My core engineering strength is Azure-native ETL/ELT with “Azure Data Factory (ADF) for data ingestion and transformation” and “Azure Databricks” for large-scale processing using “PySpark and Python.” I implement “incremental loads, deltaprocessing, and CDC-based” strategies, build medallion (Bronze/Silver/Gold) architectures, and design multi-layered storage with ADLS Gen2 plus structured warehousing in Synapse.

I also bring strong analytics enablement through “Azure Synapse Analytics,” “Power BI modeling,” and secure reporting using “row-level security (RLS) and governance controls.” In addition, I drive delivery automation with “CI/CD pipelines for ADF, Databricks, and Power BI using Azure DevOps,” optimize Azure costs with “auto-scaling, partitioning, and workload distribution,” and collaborate closely with data scientists, analysts, and stakeholders in Agile/Scrum environments.