Highly skilled and results-driven Data Engineer with over 7+ years of experience in designing, developing, and optimizing data pipelines for large-scale data processing and analytics. Proficient in utilizing tools such as DataStage, Python, and Snowflake, airflow, pyspark with a strong understanding of data modeling, ETL processes, and database design principles. Skilled in leveraging Python scripting for data processing, data transformation, and data validation tasks, automating repetitive tasks and improving efficiency. Recognized for exceptional performance, contributions to team success, and commitment to quality data engineering practices.SNOWFLAKE • Identify the datatypes/SQL syntax that behave differently in Snowflake in comparison with Netezza• Prepare scripts to extract and migrate the DDLs for the databases, tables, views and all other objects to Snowflake• Move the existing historical data to Snowflake using bulk load option in Snowflake• Set up daily/weekly/monthly processes on each and every table to load incremental data into Snowflake and identify the areas that need Snow pipeKey Skills:Data engineering: ETL processes, data modeling, database design, data validation, data profiling, data quality assessmentTools: DataStage, Python, SnowflakeData processing: data ingestion, data transformation, data integration, data consolidationDatabase technologies: relational databases, cloud data warehousesData scripting: Python scripting, automation, data validation frameworksCollaboration: cross-functional teams, stakeholder management, requirements gatheringPerformance optimization: data pipeline optimization, performance tuning, query optimizationData security: data privacy, data encryption, data access controls