Gautami Nadkarni
Gautami is a highly accomplished Cloud Architect with over nine years of experience in customer-centric roles, bringing a wealth of knowledge in Cloud technology and end-to-end Data Strategy. Her expertise spans leading complex cloud migrations, delivering impactful proofs-of-concept, and presenting compelling technical presentations and demonstrations, consistently positioning her as a trusted advisor to Enterprise clients. Specializing in Data, Cloud AI. Gautami has a proven track record of partnering with Fortune 500 companies to drive business transformation through strategic technology adoption, championing a cloud-first approach.
Beyond her technical acumen, she is a dedicated leader in Diversity, Equity, and Inclusion (DEI) initiatives, both within Google and across her customer engagements, fostering environments that value diverse perspectives and encourage innovation.
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This paper discusses the migration of data orchestration workflows from a legacy tool like Autosys to a modern, cloud - based solution, Google Cloud Composer. It explores the transition from traditional job scheduling to Directed Acyclic Graph (DAG) - based workflows using Apache Airflow, culminating in the deployment and management of these workflows in Cloud Composer. The benefits and challenges of this migration are examined, highlighting the advantages of scalability, flexibility, and cloud integration offered by Cloud Composer.
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