Pardeep Sharma

Background

About Pardeep Sharma

Pardeep Sharma is a TOGAF and GCP Professional Data Engineer Certified Solution Architect. He is having 14+ years of experience in developing applications in different domains(Telco, Banking, Travel etc.). Since last three years he is working with Citi Bank at Pune location. Major assignments completed end to end in Big Data - Ingestion, Data Modeling, Data Analytics (Preparation and Transformation), Machine Learning, NoSQL, Apache Kafka and Spark Core, SQL and Streaming Development. He has a great experience in implementing Machine Learning pipeline and Big data Solutions with expertise working on multiple analytic domains. In past, he was associated with Citi Bank, DB, DBS, AT & T, T-Mobile client, working in HCL Technologies Ltd. He was working for IBM India for 4 years as Big Data consultant and active participant in IBM Big Data COE. He has broad exposure to multiple domains like Telecom, Banking & financial services, Travels and Retail. Over the years he has consulted and developed Enterprises and Analytic Solutions. Designing the Behavioral based ML analytics and Big Data Solutions supporting Hadoop, Spark and Data Injection Batch wise with Sqoop and in real time with Flume and Kafka, for the industries in Telecom and Banking & Financial Services Domain. He is also a part time Big Data, Apache Spark & ML trainer, conducting training as part of University academy program in Engineering and Management colleges. He thinks logically and analytically and to express complex concepts in clear, understandable language and express complex concepts in clear, understandable Technical • Design, Architecture, Develop, Implement, Deploy and Administration the Big Data, supporting Hadoop Stack for the industries in Banking & financial services Domains. • Proficient experience with Hadoop distributions like Apache, IBM BigInsights, Cloudera, Hortonworks & MapR. • Trained the peers & accounts on Big Data Practices and Technologies with Predictive analytics in management, development with Hadoop, HDFS, MR, Spark, Scala, HBase, Hive, PIG, Sqoop, SQL, Flume and Kafka. • Experience as Data Engineer in developing flawless Machine Learning pipeline, troubleshooting, performance tuning, optimizing, performance large scale Hadoop/Spark cluster with data ingestion, processing and ETL.