Vishwaja M

 Overall 9+ years of experience in Data Engineering, Data Analysis, and Big Data including designing, developing, and implementing data models for enterprise-level applications and systems.  Excellent Software Development Life Cycle (SDLC) with good working knowledge of testing methodologies, disciplines, tasks, resources, and scheduling.  Actively involved in all phases of the Data Science project lifecycle including Data cleansing, Data extraction, statistical analysis, and Data visualization using R, Python, and Tableau.  Proficient in Data streaming from various sources like the cloud (AWS, Azure) and on-premises using Spark tools.  Experienced in AWS services like IAM, EC2, VPC, Lambda, Dynamo DB, Cloud Watch, Auto Scaling, S3, and Route 53.  Proficient in Data Visualization tools such as Tableau and Power BI; Big Data tools such as Hadoop, Map Reduce, HDFS, Pig, Hive, HBase, Kafka, and Apache Spark; Databases like Oracle, MySQL, SQL Server, Cassandra, Dynamo DB, PostgreSQL.  Extensive experience in Text Analytics, generating data visualizations using Python, and creating dashboards using tools like Tableau.  GCP Products: Dataproc, Cloud SQL, Big Query, Pub sub, Bigtable, Spanner, Data Studio, Data fusion, Airflow, etc  Expert in Data Analysis, Validation, Cleansing, Verification, and identifying data mismatch.  Experience in the Design and Development of ETL methodology for supporting Data Migration, data transformations &processing in a corporate-wide ETL Solution using Teradata.  Experience working on various applications using Python-integrated IDEs like Jupyter, Eclipse, IntelliJ, and PyCharm.  Experience in Database Design and development with Business Intelligence using SQL Server, Integration Services (SSIS), SQL Server Analysis Services (SSAS), OLAP Cubes, Star Schema, and Snowflake Schema.  Experience in working with Teradata. And making the data to be batch processing using distributed computing.  Experience in working with UNIX/LINUX environments & writing Shell scripts on various UNIX distributions.  Good communication skills, work ethics, and the ability to work in a team efficiently with good leadership skills.  Good experience in the AGILE delivery process of software using SCRUM.