MOHAMMED SARFARAZ AHMED

• Monitored and maintained Azure Data Factory (ADF) pipelines ingesting data from MBOX sources into Azure Data Lake Storage (ADLS Gen2), ensuring pipeline reliability and data freshness for downstream consumers.
• Validated business-user file uploads against defined schemas, reducing data quality incidents and ensuring correct MBOX format compliance before ingestion into the data lake.
• Developed and monitored EDL workflows using Control-M, scheduling and orchestrating batch data processing jobs across distributed systems.
• Performed development and testing of complex T-SQL queries in SQL Server Management Studio (SSMS) to support data validation, transformation logic, and ad-hoc reporting.
• Monitored Looker dashboards to verify data accuracy and completeness for end-user consumption, proactively identifying and resolving data discrepancies.
• Collaborated with cross-functional teams and business stakeholders in an Agile Scrum environment using JIRA and Confluence for sprint planning, issue tracking, and documentation.