Establishing the frequency of data, data granularity, data loading strategy i.e. Maintain and support existing ETL/MDM jobs and resolve issues. Used the Different Levels of Aggregate Dimensional tables and Aggregate Fact tables. Worked on Hue interface for Loading the data into HDFS and querying the data. Expertise in creating and configuring Oracle BI repository. Excellent experience Transforming the data in Snowflake into different models using DBT. . Migrate code into production and Validate data loaded into tables after cycle completion, Creating FORMATS, MAPS, Stored procedures in Informix database, Creating/modifying shell scripts to execute Graphs and to load data to into tables by using IPLOADER. Validating the data from ORACLE to Snowflake to make sure it has Apple to Apple match. ETL Developer Resume Objective : Over 8+ years of experience in Information Technology with a strong back ground in Analyzing, Designing, Developing, Testing, and Implementing of Data Warehouse development in various domains such as Banking, Insurance, Health Care, Telecom and Wireless. Experience with Snowflake cloud-based data warehouse. Replication testing and configuration for new tables in Sybase ASE. Designed and implemented ETL pipelines for ingesting and processing large volumes of data from various sources, resulting in a 25% increase in efficiency. The Trade Desk. A: Snowflake's data cloud is backed by an advanced data platform working on the software-as-a-service (SaaS) principle. The Trade Desk 4.2. Analysing the input data stream and mapping it with the desired output data stream. the experience section). Snowflake Developer ABC Corp 01/2019 Present Developed a real-time data processing system, reducing the time to process and analyze data by 50%. Delta load, full load. Built and maintained data warehousing solutions using Redshift, enabling faster data access and improved reporting capabilities. More. Designed and implemented a data archiving strategy that reduced storage costs by 30%. Design dimensional model, data lake architecture, data vault 2.0 on Snowflake and used Snowflake logical data warehouse for compute.
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