Ever curious data, analytics, platform and engineering leader, contributing primarily towards leading development of large scale big data pipelines and strategic, scalable data-driven solutions, in addition to stakeholder management and talent management in an Agile setup. With certifications from Databricks, Microsoft, Teradata and Scaled Agile, my engineering tech-stack involves Spark, Hadoop, Hive, Python, SQL, Teradata, cloud data-warehousing, AWS, Azure, Airflow, Snowflake, dbt, Fivetran, Shell, DMX-h, Informatica, Tableau, Looker, Databricks, DLT, Autosys, Ansible, GIT/Bitbucket, SVN to name few. In addition to data expertise, I have an accomplished educational background with PostGraduation Program in management from UCLA Anderson School of Management. I've also filed 4 Patents with the US Patents and Trademark Office.At Tide, I am responsible for providing Data Engineering, Platform & Data Governance leadership and enabling the org with self-serve & scalable data capabilities within fast growing fintech environment leveraging modern data tech stack.