Likitha Reddy Email and Phone Number

Designed and implemented advanced SQL queries, views, and functions for complex data analysis and reporting, leveraging Snowflake and Databricks. Skilled in data modeling, including star and snowflake schemas, and proficient in handling multi-terabyte data sets.Extract, Transform, and load data from source systems to AWS data storage services using acombination of AWS Data Pipeline, AWS Glue, Apache Spark, and Amazon Redshift Spectrum.Implemented AWS Lambda functions to run scripts in response to events in Amazon DynamoDB tableor S3 bucket or to HTTP requests using Amazon API gateway.Hands on experience in resolving incident tickets related to Hadoop components like Hbase, Yarn, Hive,Kafka, and identifying root cause analysis.Contributed to data processing by utilizing an ETL pipeline orchestrated by AWS Data Pipeline withHive.Led data migration projects using Azure Data Factory and Databricks, optimizing cloud-based data pipelines.Engineered data transformations with PySpark across formats (JSON, Avro, CSV), and optimized Spark jobs on Databricks.Implemented CI/CD pipelines with Azure DevOps and GitHub Actions, and used Terraform for infrastructure automation.Architected data warehousing solutions, designed ETL processes, and managed data quality and structure.Tuned Spark and SQL queries for high performance; performed data quality assessments and troubleshooting.Worked with Azure SQL, Data Factory, Synapse Analytics, and Data Lake Storage for data integration and automation.Developed data pipelines and automation scripts using Python, Spark, Scala, and Apache NIFI.Ensured high-quality data output with effective data quality processes and standards.