Tejasri Pannala

• 7 years of IT experience in Analysis, Design, Developing and Testing and Implementation of business application systems. • Experienced in Design, Development, Maintenance, Enhancements and Production Support of Business Intelligence Enterprise Applications. • Well versed with Bigdata on AWS cloud services i.e., EC2, S3, Glue, Anthena, DynamoDB and RedShift Experience in developing ETL applications on large volumes of data using different tools: MapReduce, Spark-Scala, PySpark, Spark-SQL, and Pig Hive. • Data Engineer with working experience in AWS, Spark, Hadoop Ecosystem, Python for Data science, data pipeline and Tableau. • Flexible with full implementation of spark jobs with PySpark API and Spark Scala API. • Strong experience in AWS S3, EMR, EC2, Glue, Lambda, IAM, Kinesis, RDS, Route 53, VPC, Code build, Code pipeline, Cloud watch and Cloud formation. • Have adequate experience in developing, designing, and architecting solutions in ETL and • Extensively used Informatica Power Center 10.2/9.5/9.1.1/8.6 for ETL (Extraction, Transformation and Loading) of data from multiple source systems into Data Warehouse. • Experience on Migrating SQL database to Azure data Lake, Azure data lake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse and controlling and granting database access and Migrating On premise databases to Azure Data lake store using Azure Data factory. • Excellent knowledge in building data engineering pipelines, automating, and fine-tuning both batch and real time data pipelines. • Responsible for creating complex Data lakes both in on-prem and cloud infrastructure. • Experience in designing and developing production ready data processing applications in Spark using Python. • Strong in databases like DB2, Oracle, MS SQL. • Experienced with cloud platforms like Amazon Web Services, Azure, Databricks (both on Azure as well as AWS integration of Databricks) • Experience in Data warehouse design using Star and Snowflake dimensional models. • Working experience with job scheduling tools like Autosys, Control-M, Talend Job Conductor.