Nitin Patel
Big Data Engineer @Cognizant
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WORK HISTORY
Big Data Engineer @Cognizant
Toronto, ON, CA
ABOUT NITIN PATEL
Big Data Developer with 4+ years of expertise in Big Data technologies, and tools/platforms such as Hadoop, MapReduce, Sqoop, Hive, Spark, Pig, HBase, Spark SQL, Scala, PySpark. Excellent Understanding of Hadoop Architecture and the daemons of Hadoop including Name-Node, Data Node, Job Tracker, Task Tracker, Resource Manager. Experience in design, development of various modules in Hadoop Big data platforms Hortonworks, Cloudera, Azure and processing data using Spark, Sqoop, Hive. Involved in devising data migration strategy from databases such as RDBMS, MySQL using Sqoop, unstructured/log data using HBASE. Developed Hive Queries to parse the raw data, populated external & managed tables and store the refined data in partitioned external tables. Also Improvising the tuning options using HIVE functions such as Partitioning, Bucketing and Indexing. Experience in performance tuning of Spark Applications for setting right Batch interval time, correct level of Parallelism and memory tunning. Optimizing of existing algorithms in Hadoop using Spark Context, Spark-SQL, RDD’s & Data Frames. Experience in working with the Different file formats like CSV, txt, parquet XLS, ORC, Sequence File, JSON, and analyzing, messaging, querying, and reporting the data based on business requirements. Deep Understanding of Azure - Cloud Service, Data Lake Storages, Data Factory, Databricks. Well-versed with programming languages like Python, Scala, Spark SQL, PySpark, HQL, SQL. Experience working with Power BI to design and develop various dashboards, reports utilizing Power BI Visualizations and communicating the results to a variety of audiences. Experience working on various RDBMS such as MS SQL Server 2012/2014/2019, MySQL, Oracle. Excellent communication, inter-personal, analytical skills and self-motivated to take independent responsibility as well as able to adapt quickly to new technologies and environments. Knowledge of Enterprise Resource Planning (ERP) systems like SAP, BAAN, Lynx & Visual based ERP systems.
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