• Proven experience (24+ years) in software engineering, data engineering, with a strong emphasis on managing complex data, storage, data ingestion.• Experience with cloud services from Microsoft Azure, Databricks, Amazon AWS• Strong experience in ETL/ELT stack Azure Data Factory (ADF) pipelines, Azure Synapse, Azure SQL databases, Spark (pyspark), Python, cloud databases, Databricks Notebooks & workflows/jobs, Airflow DAG with operators• Proven record of ability to define and execute a comprehensive strategy for the enhancement and expansion of Data Platform tools and services, aligned with the company's overall goals and market trends.• Lead a team of data engineers and software engineers and collaborate closely with cross-functional teams to ensure the successful delivery of scalable and efficient data ingestion services and common tools.• Strong skills in design and development in traditional RDBMS MS SQL Server, SSIS• Deep understanding data engineering principles, strong managerial skills, and the ability to drive innovation and operational excellence.• Delivery focused and resulted oriented and very good at managing multiple priorities.• Build reporting systems and tools to monitor job run status, data quality and SLA thresholds• Management skills in partnering with product stakeholders to refine technical data platform roadmap• Excellent oral and written communication and presentation skills.• Familiarity in working with versioning tools such git and CI/CD
Listed skills include Microsoft Sql Server, Sdlc, Sql, Ssis, and 24 others.
