As a Senior Engineer at lululemon, I lead and build on the Customer Data Platform (CDP) that supports the Customer, Marketing, and Loyalty teams. I have over 12 years of experience in data engineering, ETL, and quality assurance in the retail domain, working with various cloud platforms, tools, and frameworks.I am a continuous learner and a experienced professional in Amazon Web Services (AWS), and Azure. Some of the skills I use in my current role include Apache Airflow, Teradata, Redshift, S3, EC2, AWS EMR, Kinesis, Lambda, Hive, Presto, Apache Spark, Java, Python, Scala, JIRA, Confluence, Azure Databricks, ADF, Apache Avro, and Kafka. I also have expertise in QA practices, Selenium, and test planning. I am passionate about enhancing and maintaining existing features, improving and scaling supporting code, ensuring ongoing production support, and interfacing with global CDP vendors and internal teams. I also oversee, participate in, and manage production deployments, and coordinate recovery from incidents using well-defined operational procedures, tools, and efficient communication across internal and external stakeholders.I enjoy sharing my knowledge and insights through my Github and blog, where I showcase some of the projects I have worked on and the open-source software that I find valuable for data engineering pipelines. I am also interested in contacting former colleagues and managers, as well as other professionals in my field. Feel free to contact me through this profile if you wish to connect.Github: https://github.com/anilkulkarni87Blog: https://anilkulkarni.com/