Salekin Ansari

End-to-end data warehousing work: built pipelines in Azure and Databricks; implemented Unity Catalog for centralized governance and access control; migrated pipelines from Azure Data Factory to Databricks; optimized PySpark jobs, reducing processing time by 40%; supported production incidents and data scientists.

Designed data models and built ingestion pipelines using AWS Glue, Lambda, and S3 with PySpark and Python; developed end-to-end ingestion and transformation workflow (S3 to Redshift L1-L3); implemented data quality checks and SCD2; leveraged Azure and AWS lake services for medallion architecture; improved processing with Parquet and Airflow-based orchestration.

Built data models and pipelines using Azure Data Factory and Databricks (PySpark/SQL); delivered delta tables and end-to-end data ingestion from source to warehouse; implemented incremental loads and SCD2; supported analytics via Azure Synapse, AWS Athena; visualized real-time data with Power BI.