Barsha Sahoo

Senior Data Engineer

Maersk Line•  April 2019 - Present

 Designing centralized and scalable customer service data model by analyzing multiple source systems  Implementing a data driven solution featuring aggregations, slicing-dicing, drill-down and trend-analysis along with fast data retrieval capabilities for diverse groups of users, enabling quick decision making across customer service business function  Delivering KPIs related to customer service performance, customer satisfaction, bookings, documentation, contacts and performance benchmarking, ensuring data quality and correctness  Creating data pipelines using Azure cloud services like Databricks, ADLS, Data Factory and Bigdata technologies like Spark, Hive, Python, Pyspark

Data Engineer

Sears Holdings•  January 2018 - December 2018

 Segmenting value customers or subscribers depending on their socio-economic information, behavior and demographics for targeted interactions by feeding data pipelines into a segmentation engine  Developing and implementing minimum 2+ data pipelines per week by analyzing business requirements and different source datasets in a timebound critical environment  Transforming and automating customer segment tagging process by analyzing business requirement pattern using Teradata Bteq scripts, load utilities and Unix shell scripting

System's Analyst

Exilant Technologies Pvt Ltd (Appel Inc.)•  August 2012 - December 2017

 Delivering large scale end to end data driven business intelligence reporting solutions by following waterfall methodology  Analyzing business requirements along with feasibility study of business needs and providing LOE (Level of Effort)  Implementing and enhancing database solutions for Apple's cross-functional teams to track the health status of an NPI launch execution (Launch Execution Dashboard)  Building database applications which drives scheduled as well as ad-hoc requests from business along with providing different levels of aggregations for reconciliation of Apple music card transactions with revenue data by integrating into Apple's EDW framework and feeding into a downstream system known as iRecon  Implementing and maintaining reporting solutions resulting in monthly and quarterly usage metrics of Apple's iCloud storage subscription for vendor's royalty share calculation per music download and streaming using Hive, Oozie and Unix shell scripting  Analytics on sales personnel's interactions with Apple Learning Platform using Teradata stored procedures and Unix shell scripting  Mentoring trainees in development process and conducting knowledge sharing activities