MBMital Bhalani is a detailed-oriented Big Data Engineer with over 3 years of profound expertise in Hadoop and Big Data technologies. He possesses strong skills in Apache Spark (Scala), Hive, HBase, and ETL processes, alongside proficiency in SQL, Python, and Unix. He specializes in data warehousing, data integration from unstructured sources, and generating actionable data insights using big data technologies.
Experience
Senior Data Analyst
Numerator
Improved data collection methods by designing surveys, polls and other instruments. Developed polished visualizations to share results of data analyses. Analyzed complex data and identified anomalies, trends and risks to provide useful insights to improve internal controls. Perform data analysis including data collection in gathering, maintaining, and providing monthly and cumulative tracking of data. Analyzed large amounts of data to identify trends and find patterns, hidden trends and insights within data.
Support Data Engineer
Numerator
Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability. Loading Data into Hive table and analyzing using Hive QL. Designed both Managed and External tables in Hive to optimize performance, implementing Partitions, Bucketing concepts in Hive. Scheduled Sqoop jobs to import large data from traditional RDMS to HDFS and also handled incremental Sqoop.
Education
Parul University
B.Tech
Computer Science and Engineering
Programming Languages, Software Engineering
Trendytech LLC
Big Data Master Program
Big Data
Big Data Hadoop, Data ingestion & Modelling, SparCore, SparkSQL, Spark, Structured APIs, Spark Optimizations