Snowflake Consultant

Description

Worked on all phases of data warehouse development lifecycle, from gathering requirements to testing, implementation, and support.
Worked extensively in Unix Shell Scripting, Python and SQL server with strong implementation on performance management.
Experience of 2 years on Snowflake Cloud Datawarehouse.
Worked on Cloud Database Snowflake Cloud Datawarehouse and Integrated Automated Generic Python Framework to Process XML ,CSV, JSON,TSV,TXT files.
Developed Python Framework for Data Ingestion into Snowflake
Excellent hands on experience in trouble shooting the problems and improving the performance of application processes by Debugging, tuning and tracing.
Designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse.
Work with structured/semi-structured data ingestion and processing on AWS using S3, Python. Migrate on premisis big data workloads to AWS.
Experience in implementing complex Data Integration/Ingestion with Structured, and Unstructured data sets.
Design and implement secure data pipelines into a Snowflake data warehouse from on premise and cloud data sources.
Creation of best practices and standards for data pipelining and integration with Snowflake data warehouses.
Experience in building data ingestion pipeline using Informatica.
Design, develop, and implement advanced data pipelines that bring together data from disparate sources, making it available to data scientists, analysts, and other users using a variety of programming languages ( Python)
Understanding of Multi-Process Architecture.
Analytical skills.