I am passionate about open source, multi-cloud, scalable and efficient data pipelines. I make data informed architectural decisions to build data products that support advanced analytics, machine learning, and customer facing applications. I also have a keen interest in interdisciplinary areas such as Cloud FinOps, DevOps and MLOps. I love to learn, share and contribute to the open source community - you will find me an engaging technical writer and presenter. Specialty designing and developing enterprise scale mutil-cloud batch/streaming Spark applications Production implementation of AWS/GCP, Databricks, EMR, open source and managed Airflow Practical application of data catalog, data lineage, and sensitive information handling Experience with CICD, monitoring, alerting and log analytics (ELK/Datadog) Proficiency with infrastructure as code: Terraform/Cloud Formation, k8s config connector Knowledgeable of cloud data warehouses and tuning (Snowflake, Big Query, Redshift, Postgres) Skillful in Python, Scala, SQL. Working knowledge of Java and C#. Strong command of MS Office/G Suite, design (UML, LucidChart) and project management tools (JIRA, Zendesk, Trello)