Sarthak Das Email & Phone Number | Seasoned IT professional with over 16 years of extensive experience in Business Intelligence, Data Engineering, Data Science, Data Architecture, specializing in the development and maintenance of Enterprise Data Warehouse and Data Mart solutions. Architected and optimized the Databricks Lakehouse framework to support big datasets, incorporating best practices in data modeling, ETL processes, and data partitioning to ensure efficient data storage and access. Proficient in Dimensional, Logical & Physical Data Modeling, utilizing Star & Snow-Flake Schemas, and well-versed in Kimball and Inmon methodologies, as well as Key Vault architecture. Highly skilled in ETL and ELT tools, including Databricks Autoloader, Azure Data Factory, Infosphere Datastage, Snowflake, and SSIS. Proficient in managing Azure and Databricks Delta Lake platforms, Medallion architecture, Data Lake, Delta Live Table, as well as implementing and optimizing Banking Data Warehouse (BDW), EDW, ODS, and Data Mart models. Implemented Data Replication and Data Virtualization solutions. Demonstrated expertise in evaluating new data sources, defining integration requirements, and conducting meticulous data profiling to ensure seamless system integration. Highly proficient in the use of T-SQL for developing complex Stored Procedures, Triggers, tables, User Defined Functions, Relational Database models with Data integrity and SQL joins. Skilled in Python, SQL, UNIX Shell Scripting (vi editor), Powershell, and proficient in Windows server configuration. Known for adeptly translating business requirements into technical specifications across various sectors, including Banking & Finance, Payroll, and Staffing companies, by leveraging in-depth domain knowledge. Effective communicator and collaborator, engaging with various stakeholders such as Directors, Enterprise Architects, Business Managers, and Data Consultants to align data initiatives with organizational goals. Familiar with Agile project management methodologies, utilizing Azure DevOps for efficient project tracking and delivery.

Sarthak Das

Seasoned IT professional with over 16 years of extensive experience in Business Intelligence, Data E...
Newnan, Georgia, United States

*50 free lookup(s) per month.

No credit card required.

Sarthak Das’s Email sarthak@techorbit.com

Sarthak Das’s Phone Numbers

Get SARTHAK’s Phone Number (For Free)

Social Media

Sarthak Das’s Location Newnan, Georgia, United States

Sarthak Das’s Current Industry Medical Solutions

Sarthak Das’s Prior Industry Techorbit | Ibm

Not the Sarthak Das you were looking for?

Find accurate emails & phone numbers for over 700M professionals.

Work Experience

Medical Solutions

Senior Data Engineer

2021-09-01 00:00:00 - Present

Techorbit

Software Application Developer (Data Engineer)

2016-10-01 00:00:00 - 2021-09-01 00:00:00

Ibm

Technical Team Lead

2015-09-01 00:00:00 - 2016-09-01 00:00:00

Skills

No Skills Available

Languages

No Languages Available

FAQ About Sarthak Das

Sarthak Das is located at
Newnan, Georgia, United States

Sarthak Das is a Seasoned IT professional with over 16 years of extensive experience in Business Intelligence, Data Engineering, Data Science, Data Architecture, specializing in the development and maintenance of Enterprise Data Warehouse and Data Mart solutions. Architected and optimized the Databricks Lakehouse framework to support big datasets, incorporating best practices in data modeling, ETL processes, and data partitioning to ensure efficient data storage and access. Proficient in Dimensional, Logical & Physical Data Modeling, utilizing Star & Snow-Flake Schemas, and well-versed in Kimball and Inmon methodologies, as well as Key Vault architecture. Highly skilled in ETL and ELT tools, including Databricks Autoloader, Azure Data Factory, Infosphere Datastage, Snowflake, and SSIS. Proficient in managing Azure and Databricks Delta Lake platforms, Medallion architecture, Data Lake, Delta Live Table, as well as implementing and optimizing Banking Data Warehouse (BDW), EDW, ODS, and Data Mart models. Implemented Data Replication and Data Virtualization solutions. Demonstrated expertise in evaluating new data sources, defining integration requirements, and conducting meticulous data profiling to ensure seamless system integration. Highly proficient in the use of T-SQL for developing complex Stored Procedures, Triggers, tables, User Defined Functions, Relational Database models with Data integrity and SQL joins. Skilled in Python, SQL, UNIX Shell Scripting (vi editor), Powershell, and proficient in Windows server configuration. Known for adeptly translating business requirements into technical specifications across various sectors, including Banking & Finance, Payroll, and Staffing companies, by leveraging in-depth domain knowledge. Effective communicator and collaborator, engaging with various stakeholders such as Directors, Enterprise Architects, Business Managers, and Data Consultants to align data initiatives with organizational goals. Familiar with Agile project management methodologies, utilizing Azure DevOps for efficient project tracking and delivery.