Ravinder Akiti

● 8+ years of overall experience as software developer in design, development, deploying and large scale supporting large scale distributed systems. ● Experience with the Data Migration Team cleansed the data, transformed the data using SQL Procedures according to the salesforce format, performed Unit testing and used some part of Azure data factory for ETL and triggering purposes. ● Experience implementing dashboards, data visualizations and analytics on tableau. ● Hadoop ecosystem tools like HDFS, Spark, Sqoop, Hive, Flume, Kafka, Impala, PySpark, Oozie, and HBase. ● Solid Knowledge of AWS services like AWS EMR, Redshift, S3, EC2, and concepts, configuring the servers for auto-scaling and elastic load balancing. ● Analyzed data where it lives by Mounting Azure Data Lake and Blob to Databricks. ● Used Logic App to take decisional actions based on the workflow. ● Developed custom alerts using Azure Data Factory, SQLDB and Logic App. ● Developed Databricks ETL pipelines using notebooks, Spark Dataframes, SPARK SQL and python scripting. ● Knowledge in automated deployments leveraging Azure Resource Manager Templates, DevOps, and Git repository for Automation and usage of Continuous Integration (CI/CD). ● Experienced in data processing and analysis using Spark, HiveQL, and SQL. ● Extensive experience in Writing User-Defined Functions (UDFs) in Hive and Spark. ● Worked on Apache Sqoop to perform importing and exporting data from HDFS to RDBMS/NoSQL DBs and vice-versa. ● Working experience on NoSQL databases like HBase, Azure, MongoDB, and Cassandra with functionality and implementation. ● Worked extensively over semi-structured data (fixed-length & delimited files) for data sanitation, report generation, and standardization.Design and Develop ETL jobs using DataStage tool to load data warehouse and Data Mart.