K
Kirtankumar Patel
Kirtankumar Patel
About
Detail
Data Engineer
New Jersey, United States
. Over 7+ Years of working experience as Data Analyst including Data Development,
Implementation and Maintenance of databases and software applications.
Solid Excellent experience in creating Conceptual, Logical and Physical modeling for Online
Transaction Processing and Online Analytical Processing (OLTP & OLAP) systems.
Experienced working with Cloud Data warehouse Snowflake.
Built and maintained data warehousing solutions
Developed and optimized SQL queries and stored procedures
Designed and implemented a data archiving strategy
Built a data validation framework
Implemented a data catalog using Snowflake metadata tables, resulting in improved data
discovery and accessibility
Designed, developed, and maintained high-performance Snowflake databases and data
warehouses
Optimized complex data processes
Collaborated with a team of professionals across departments
Excellent proficiency in Agile/Scrum and waterfall methodologies.
Implemented business logic using store procedures, TSQL and Triggers (DML and DDL).
Good in system analysis, ER Dimensional Modeling, Database design and implementing RDBMS
specific features.
Having good experience with Normalization (1NF, 2NF and 3NF) and De-normalization techniques
for improved database performance in OLTP, OLAP, Data Warehouse and Data Mart
environments.
Expert in Data Warehousing techniques for Data Cleansing.
Good experience in working with different reporting tool environments like SQL Server Reporting
Services (SSRS), Cognos and Business Objects.
Experience in developing Conceptual, logical models and physical database design for Online
Transactional processing (OLTP) and Online Analytical Processing (OLAP) systems.
. Extensive experience in using ER modeling tools such as Erwin and ER/Studio, Power Designer and
MDM.
Strong knowledge on data profiling, data standardization, transformation, cleansing and best
practices to apply on high volume data.
. Experience in data analysis to track data quality and for detecting/correcting inaccurate data from
the databases.
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