As an Advanced Software Engineer at Gartner, I work on state-of-the-art deep learning and NLP based software products, following best practices in MLOps to optimize the workflows, integrate and transform data sources, design and automate workflows, analyze and monitor models and metrics, and generate data insights. I have a background in data science and ML operations, and a good exposure to the big data stack, including Hadoop, Spark, Hive, Databricks, Docker, Kubernetes as Resource Manager, databases, AWS services, dashboarding tools, monitoring tools, and web development. I have also worked as a Tech Consultant for Enterprise Data Lake and Data Access Management Platform at ZS, where I enabled data governance for a Fortune 500 pharma client with enterprise-wide adoption and granular level access policies. I automated CI/CD pipelines and ETL processes, helping teams migrate real-time streaming data to the cloud, utilized Apache Airflow, AWS Stack to build and orchestrate data & ML operations workflows. I hold certifications in: * Data Ethics: Making Data-Driven Decisions. * Microsoft Certified: Power BI Data Analyst Associate.