Vishvaradhya Mallinath

Tata Neu Super App Neupass and Financial Services: Managed prominent FS brands, including Insurance, Personal Loan, Lending, and Credit Card. Championed the enhancement of the FS brand's customer journey within the TataNeu super-app ecosystem. Orchestrated the conversion of vast realtime raw event data into valuable delta tables and views on a daily basis. Skills: Pyspark, Python, Databricks, SQL, Event Hub, Delta Lake, ADF.

AdvancedAnalytics: Our primary objective involves constructing pipelines to extract data from diverse sources into our designated Data Warehouse, specifically Azure Data Lake then providing the data to the data science team. Roles and Responsibilities: Conceive and Craft Spark Pipelines, Data Models, Data Warehousing solutions, and reports utilizing tools such as Spark, Python, Databricks, and Power BI. Facilitate the preparation of data for data science applications by extracting information from sources.

I assumed the role of Senior Data Engineer at Visa Inc. My tenure involved active participation in the CMIS Analytics team, focusing on the construction of Sqoop and HIVE pipelines. I played a crucial role in maintaining the operational Hive pipelines responsible for populating downstream tables. These meticulously crafted hive tables formed the basis for generating Tableau reports, facilitating in-depth analysis of payment-related data.

Goods and Service Tax India: GSTN, a non-profit non-governmental organization, is responsible for overseeing the comprehensive goods and service tax system in India. Tools and Technologies Employed: Python, Spark, Tableau Desktop, Tableau Server, Sqoop, Hive, Shell Scripting, DB2, MySQL, Impala, and Oozie. Roles and Responsibilities: Demonstrating practical expertise in Data Modeling, encompassing Dimensional Relational concepts like Star-Schema, Snowflake Schema Modeling, and Fact and Dimension tables.