Capable and timely Developing and analyzing of large Structured and Unstructured Data made possible by different resources using different System components and architectures.
- Over more than 10 years of IT experience in the fields of biotechnology, pharmaceutical, finance, marketing, and big data industries.
- Capable of processing large sets of structured, semi-structured, and unstructured data and supporting systems.
- Able to assess business rules and ethics, collaborate with client needs and perform source-to-target data mapping, design and review.
- Experience optimizing ETL workflows.
- Data visualization, basic data mining using different algorithms, and reporting.
- Big Data Ecosystems: Hadoop, MapReduce, Yarn, Sqoop, Flume, Hive, and Pig
- Basic knowledge of running Spark and Spark.SQL batch processing data.