AISWARYA SAHOO
@aiswaryasahoo
Data Engineer/ ETL Tester
Pune, India
Experienced Data Engineer with expertise in SQL, SCALA, PYSPARK, ETL testing, and development across Snowflake, Databricks, and SQL Server. The candidate has a proven track record of identifying and optimizing performance issues in large, complex SQL queries. Skilled in designing and implementing efficient data processing pipelines while leveraging best practices for performance tuning.
Experience
ETL TEST ANALYST
Cognizant Technology and Solutions
Designed and developed Snowflake data warehousing solutions to support business requirements. Developed ETL processes using Snowflake utilities such as SnowSQL and Snow Pipe to extract, transform, and load data into Snowflake from AWS S3 bucket. Gathered information from the stakeholders on ETL data mapping documents, ETL design documents and created SQL scripts by analyzing the documents. Designed automated script to execute the test cases using Python. Based on signed off test scenarios, identified test data and created test cases based on the understanding of the requirements. Designed and implemented data models and schemas using Snowflake's database objects such as tables, views, and indexes. Improved data quality by analyzing data and identified defects and meaningful solutions using Python automation.
BIG DATA TRAINEE
Trendytech
Migrated data using Sqoop from on-premises to Hadoop for full load and incremental load and automated the process. Created partitions and buckets for analytical processing using hive. Optimized data on HBase. Transformed data in databricks and Eclipse IDE with Scala, PySpark and Spark SQL and created data pipeline using Azure data factory.
Education
Veer Surendra Sai University of Technology
Bachelor Of Technology
Metallurgical and Materials Engineering
Dhenkanal Junior College
Intermediate (Science)
Licenses & Certifications
Azure Data Engineer Associate (DP-203)
Microsoft
AWS Solutions Architect Associate
Amazon Web Services
Databricks Certified Data Engineer Associate
Databricks