Sushma Bandugula

I have been a data engineer for more than 5+ years, and I have built, tested, integrated, managed, and optimized data from several sources. Expert in creating and putting into practice end-to-end ETL procedures that make effective use of technologies like Snowflake, Snow SQL, and Snow Pipe for data loading and transformation. Optimal performance and scalability are guaranteed by a wealth of experience with data warehousing principles, such as OLTP, OLAP, Dimensions, Facts, and data modeling. Practical experience with Snowflake integration setup elements for MS Azure, such as optimizer, metadata management, and job scheduling for efficient data processing. Expert in creating and managing data integration workflows using SSIS and MS SQL and T-SQL for database querying and manipulation. Comfortable with utilizing AWS services to process data seamlessly, such as Glue, Redshift, RDS, S3, Data Pipeline, AppSync, and Lambda. Strong understanding of ETL processes, data governance, and data modeling principles, ensuring data accuracy, consistency, and compliance with regulatory requirements. Expertise in complex data processing and analytics using Azure SQL Server, Databricks, Row-level security, Databricks API, and Azure Data Lake Gen2. Has experience working with a variety of platforms, such as SQL Server, PostgreSQL, MySQL, AWS Aurora, AWS RDS, AWS DynamoDB, Azure SQL, Azure Cosmos DB, AWS Redshift, AWS Lake Formation, and Azure Synapse Analytics, to design and develop relational and non-relational databases, data warehouses, and data lakes. Expert in using tools like Tableau, Power BI, and Apache Superset to streamline data entry, exploration, and visualization procedures to produce actionable insights and facilitate decision-making. Well-versed in CI/CD techniques for automating deployment procedures and guaranteeing the dependability and quality of software. Proficient in Python, Java, Scala, and SQL for work involving data analysis, transformation, and manipulation.