Ever curious data analytics and engineering leader having 12+ years of experience, 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 datawarehousing, Shell, DMX-h, Informatica, Tableau, Databricks, DLT, Autosys, Ansible, GIT/Bitbucket, SVN and a know-how of cloud technologies. In addition to data engineering expertise, I have an accomplished educational background with Post Graduation 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 analytics engineering leadership and building data engineering & warehousing capabilities within fast growing fintech environment leveraging modern cloud and big data analytics tech stack like AWS, Snowflake, dbt, fivetran, Airflow, Looker, Python etc. to name a few.