Core Data & ETL Skills Strong experience in ETL / ELT architecture and enterprise data migration. Hands-on experience with large-scale data migration from legacy platforms to cloud. Strong knowledge of data mapping, profiling, transformation, reconciliation, and validation. Experience designing repeatable and audit-ready ETL frameworks. Azure Data Platform Skills Azure Data Factory ADLS Gen2 Azure SQL / SQL Managed Instance SQL Server Data pipelines and staging layers Monitoring and pipeline failure handling Legacy Data Skills Experience with mainframe or HP NonStop data migration is preferred. Understanding of SQL/MP, Enscribe, COBOL copybooks, packed decimals, fixed-width files, and batch data processing. Ability to translate legacy data structures into relational/cloud-native target models. Data Quality & Reconciliation Strong experience with source-to-target reconciliation. Ability to design validation rules, exception handling, and audit reports. Experience in financial, transactional, or regulatory data validation is preferred. AI & Agile Experience Exposure to AI-assisted data migration, data profiling, or ETL generation. Experience working in Agile / Scrum / SAFe delivery models. Ability to work in sprint-based, wave-based, and evidence-driven delivery structures. Originally posted on Himalayas