About

Mansi Goyal is a highly skilled and experienced Data Engineer with over 8 years of experience in the field. She has worked with some of the biggest names in the industry, including Wells Fargo and Morgan Stanley, where she has gained extensive experience in data extraction, transformation, and loading from various sources like Oracle, Teradata, DB2, and flat files. Mansi is an expert in the Big Data space, with experience in Hadoop Stack HDFS, Hive, and Spark. She is responsible for all activities related to the development, implementation, administration, and support of ETL processes for large scale data warehouses. She has designed standardized data schemas to capture data from multiple data providers and is well-versed in writing complex, highly-optimized SQL queries across large data sets. Mansi has worked on all phases of data warehouse development lifecycle, from gathering requirements, ETL design, and implementation. She is an expert in leading teams to successful project implementation with leadership skills, quality assurance, and schedule adherence. Mansi has strong knowledge of Data warehousing concepts, Dimensional, and Architectural modeling. She has skills to solve problems and design algorithms. Mansi has experience with data wrangling in Python data frames doing things such as filtering, sorting, joining, and analyzing data sets. She has experience in Python (pandas) & Python scripting language. Mansi is highly adaptable in quickly changing technical environments with very strong organizational and analytical skills. Currently, Mansi is working at Wells Fargo as an AVP, where she is responsible for extracting and combining data from various heterogeneous data sources for maintaining Data Warehousing. She is working on creating a data pipeline to load data in DataLake (Hadoop HDFS, Hive, and Spark processing) and is responsible for data wrangling in Python data frames doing things such as filtering, sorting, joining, and analyzing data sets. Mansi is responsible for designing new data pipeline processes to handle a big volume of data. Mansi has also worked at Morgan Stanley as a Senior Manager and Genpact as a Sr. Software Consultant, where she was responsible for data modeling in relational DB, data extraction, and combining data from various heterogeneous data sources for maintaining Data Warehousing. Mansi has a Bachelor of Arts degree from Delhi University and has completed her education from various reputed institutes. She has a strong tech stack, including Python, SQL, Data Engineering, HDFS, Spark, Apache Hive, Pandas, H