Ing. Anjum Monga

• Developed data warehouse following Kimball's warehousing concept to built the Omini Channel Spine for better customer experience with clear information for sales manager to optimise the overall sales. • Designed and implemented a 3-tier architecture in Dataform and github using terraform and conducted ELT on Big Query for a data warehouse. • Designed and implemented the data quality dimensions and checks for various different domains like Sales, Product, Outlet etc.

As a data engineering chapter lead, Conducted in depth peer reviews, conducted, collaborations and workshops for exchange within and outside the domain. Designed and developed a data lake architecture for efficient storage and retrieval of large datasets and provide the standardized consumption, historization and conducted ELT on it. Participated in business understanding to transform the Non-functional requirements to functional requirements. With data virtualisation to conducted gap analysis in data model

• Implemented data vault data warehousing strategy for trucks domain, implemented the hubs , links , satellites and reference tables to bring various data sources such as sensor data, vehicle health data. • Created ELT pipelines to onboard various structured and semi structured data sources at data lake. • Implemented Hive external tables with data being placed at HDFS and metadata managed by Presto. • Implemented orchestration jobs on oozie and scheduled it with co-coordinator workflows.