- Experience as a Data Analyst (or related occupation) performing data analysis, data engineering, and scripting using Python and SQL.
- Demonstrated Expertise ( DE ) analyzing large-scale data to detect patterns, trends, and nuances using Snowflake; gathering data from disparate sources and executing data parsing;
summarizing, visualizing, and simplifying data loading by designing clean data models using Python; and deploying ETL pipelines using data querying, modeling, SQL, Linux, and Cronjob.
DE designing large data sets and implementing pre-aggregations to avoid data consolidation as a part of larger data strategy initiatives;
processing and preparing data for analytical insights using Snowflake modeling patterns; planning, designing, and implementing diverse Business Intelligence (BI) dashboards to visualize data using OBIEE, Power BI, Tableau, and MS Excel.
DE designing relational databases, data models, and optimizing process automation to minimize manual interventions using MySQL;
developing / documenting data architecture and strategies extracting, transforming, and analyzing unstructured / semi-structured data using JSON / XML feed content from websites, customer-entered feedback (surveys and online interactions), measured user consumption, click rates, and engagement activity.
DE creating data marts and flows and paginated reports to maximize utilization and transparency using Power BI features;
managing and comparing existing data models and schemas to analyze performance and scope improvements using Snowflake; and developing REST API and automating ETL process using Postman and Python
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