Apr 2019 – Aug 2021 · 2 yrs 4 mos · California, United States · Remote

• ● Worked extensively with importing metadata into Hive and migrated existing tables and applications to work on Hive and AWS cloud.
• ● Created data pipeline for different events of ingestion, aggregation, and load consumer response data in AWS S3 bucket into Hive external tables in HDFS location to serve as feed for Tableau dashboards.
• ● Worked on AWS glue ETL tool, in which we used AWS Glue Crawler, AWS Glue Data catalog and Connections.
• ● Worked on AWS Athena query service that makes it easy to analyze the data in Amazon S3 using standard SQL.
• ● Worked in an agile environment where I needed to interact with project owners on development activities and proposed new ideas to automate certain activities in the project using Python scripts.

Dec 2016 – Mar 2019 · 2 yrs 3 mos

• Project mainly focuses on developing new products built on data platforms that ingest, manage and process data from all of client’s’ businesses. Build and run ETL pipelines to onboard data into the platform, define the schema, build digital reports for processing pipelines, and monitor data quality.

May 2015 – Nov 2016 · 1 yr 6 mos

• This project is an implementation of the Apache Hadoop technology stack on the Microsoft Azure cloud platform. I was involved in Data Analysis, Data Profiling, Data Integration, Migration, Data governance, metadata management, and Master Data Management and Configuration Management. The Project involved in developing the dashboards in Tableau, Power BI environments for Metrics and Compliance department. Focused on providing analytics insights and decision support tools for executives for accurate decision making.

Jul 2011 – Nov 2013 · 2 yrs 4 mos

• Data Analyst for the Robotic Process Automation Project, As a Data analyst, my major role was ad-hoc reporting, creating multiple new reports in Power BI for the team based on understanding the requirements of the users.