G Navya

About G Navya

Over 6 years of IT experience in Business Requirement analysis, design, development and implementation of Data warehousing and Business Intelligence applications using ETL.• Experience in design, development, and Implementation of Big data applications using Hadoop ecosystem frameworks and tools like HDFS, MapReduce, Yarn, Pig, Hive, Sqoop, Spark, Scala, Storm HBase, Kafka, Flume, Nifi, Impala, Oozie, Zookeeper, Airflow, etc.• Strong technical experience in SDLC including requirement gathering, Design, Analysis, Coding, Testing, Documentation and Deployment.• Worked on several projects like ACA, HCSIS, OMAP and IES, CWIS projects which required conversion from Legacy systems to give a one stop solution for public services catered in diversified areas like senior benefits, health and financial assistance, child and family welfare, transport etc.• Understanding and working knowledge of Informatica CDC (Change Data Capture).• Good knowledge of Relational Databases like SQL Server, Oracle, DB2.• Experienced in Logical and Physical Database design & development, Normalization and Data modeling using Erwin and SQL Server Enterprise manager.• Experience with slowly changing dimension methodology and slowly growing targets methodologies.• Experience in multidimensional modeling and RDBMS concepts Data mart, OLAP, OLTP using Star Schema and Snow-Flake Schema. • Good understanding in writing Test plans, Test cases, Unit testing, System testing, Integration testing and Functional testing.• Strong experience in Informatica Data Quality (IDQ), Power Center, Data Cleansing, Data profiling, Data quality measurement and Data validation processing• Used Unix Shell scripts to write pmcmd commands to automate workflows.• Experience with different scheduling tools to accommodate requisites.• Expertise in developing streaming applications in Scala using Kafka and Spark Structured Streaming. • Expertise in developing and tuning Spark applications using various optimizations techniques for executor tuning, memory management, garbage collection, Serialization assuring the optimal performance of applications by following best practices in the industry.• Hands on experience in importing and exporting data into HDFS and Hive using Sqoop.• Exposure on usage of NoSQL databases column oriented HBase and Cassandra.• Hands-on experience in working with AmazonWebServices (AWS) cloud and its services like EC2, S3, AthenaRDS, VPC, IAM, ElasticLoadBalancing, Glue, Lambda, RedShift, Auto Scaling, Cloud Front, Cloud Watch, and other services of the AWS family.

Experience

1. Senior Data Engineer

   Change Healthcare

   Nov 2019 — Present · Plano, TX, US

   Plano, Texas, United States