Mohammed Khan

• Overall, 10 years of professional experience working in the field of Data. • Designed, developed, and tested a number of data pipelines, batch and streaming frameworks, data quality frameworks, data standardization frameworks and a variety of data models. • Working experience in developing data lakes with ETL Tools&lead end to end implementation of Big Data projects, comprehensive experience as a cloud developer in AWS Ecosystem. • Experience in developing Spark Programs in Data Bricks for analyzing big data as per the requirements. • Experience with GTS and provides information technology (IT) services for clients. • Hands on experience in creating Apache Spark RDD transformations on Data sets in the Hadoop data lake. • Extensive experience in using Hive Query Language for data analytics. • Hands on experience working on NoSQL databases including HBase, Cassandra and its integration with Hadoop cluster. • Good working experience using Sqoop to import data into HDFS from RDBMS and vice-versa. • Experienced in Data Ingestion projects to inject data into Data Lake using multiple sources systems using Denodo Bigdata. • Experience in AWS administration activities such as configuration of clustersin EMR, Apache, Cloud-era and AWS. • Good knowledge on Hadoop Architecture and its components such as HDFS, MapReduce, Job Tracker, Task Tracker, Name Node, Data Node. • Excellent and experience and knowledge of Machine Learning, Mathematical Modeling and Operations Research. Comfortable with R, Python, SAS and Weka, MATLAB, Relational databases. Deep understanding & exposure of Big Data Eco-system • Experience in troubleshooting and resolving architecture problems including database and storage, network, security, and applications. • Experienced in scheduling sequence, parallel and server jobs using DataStage Director, UNIX scripts and scheduling tools. Designed and developed parallel jobs, server and sequence jobs using DataStage Designer. • Expertise on working with various databases in writing SQL queries, Stored Procedures, functions, and Triggers by using PL\SQL and SQL.