Siva Kumar Email & Phone Number

Having 7+ years of rich experience in building data driven solutions on designing & developing DataEngineering ETL/ELT pipelines, Data Warehousing, Data Migration, Data Modelling & DataVisualization. Strong expertise in developing data pipelines for both Structured and Semi Structured data inrespective Data Lake, Delta Lakehouse and Data Warehouse solutions using Pyspark Data Frame API,Databricks Notebooks, Delta Live Tables, Azure Data Factory, Python, Bigdata Hive, Sqoop,Informatica PowerCenter, Teradata utilities, Unix Shell Script, Awk, SQL, PL/SQL, SnowflakeSnowpark/Snowsql, Azure Synapse and AWS Cloud services. Experience in implementing Data Warehousing solutions using Snowflake, Databricks DeltaLakehouse, Bigdata Hive Data Lake, Azure Synapse Analytics, Teradata, AWS Redshift, S3 and AzureData Lake Storage. Data Modelling experience using Dimensional Data model- Star,Snowflake using Normalization, Factand Dimensions Tables. Strong understanding of Data warehousing & modelling concepts. Having good experience in developing analytics & user interactive visualization dashboards throughTableau. Having experience in stream processing using Kafka, Databricks Spark streaming and Azure StreamAnalytics. Having experience in Azure Data Factory to develop and orchestrate Data pipelines and AzureDatabricks notebooks. Solid knowledge of data processing languages, including SQL, Python, and Scala, and understandingof parallel processing and data architecture patterns and good working Experience with ProgrammingLanguages Such as Java, Scala, Python, R. Well experienced in the Hadoop ecosystem components like Hadoop, MapReduce, YARN, HBase,Oozie, Hive, Sqoop, Pig, and Flume, Tez and different Distributions like MapR, Cloudera,Hortonworks, Elastic MapReduce (AWS). In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS,Job Tracker, Task Tracker, YARN, Name Node, Data Node. Knowledge on implementing Big Data in Amazon Elastic MapReduce (EMR) for processing, managingHadoop framework dynamically scalable Amazon EC2 instances. Experience in building data pipelines using Snowflake, SSIS, Azure Data factory, Azure Databricksand loading data to Azure Data Lake, Azure SQL Database, Azure SQL Data warehouse andcontrolling and granting database access.

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  University Of Bridgeport

  Masters