• Having overall 15 years of experience across global organizations – Barclays, RBS, Wipro, IBM & Tech. Mahindra (Satyam) as Big Data Engineer Consultant, Data Architect & ETL solution designer on Cloudera (CDH), Google Cloud Platform, ASW , Hortonworks (HDP) Big Data platforms, Open Source Apache Full stack along with traditional Data Warehousing/BI technologies . • Expertise in Big Data E2E Data pipelines and ETL workflow designing, building and implementation of large volumes data set using batch processing jobs, streaming jobs, data analytics interactive operations and data visualization using different Big Data technologies like Apace Hadoop, HDFS, Spark (i.e PySpark, Java and Scala), Spark SQL, Spark Streaming, Docker, Kubernetes, Sbt, Maven, HiveQL, HBase, Cassandra and Mango DB and traditional warehousing technologies. • Solution ETL/BI Technical expert to Data profiling, Kimball & Enterprise Data Warehouse Architect in compliance with Data Integration, Data governance, Reporting requirements, Mapping source to target entities, Gap/Risk analysis, History data requirements, Data Quality management, taking design reviews, obtaining UAT sign-off, adhering to OLA&SLA. • My expertise lies in Big Data Application/Databases/Infrastructure design, development, implementation of Big Data Transformations, Data Pipelines, Data lakes, Data Management, OLAP design, Conceptual, Logical & Physical Data Modeling, Technical Project Management expertise on Business Intelligence Analytics, Master Data Management (MDM), Data Integration and SDLC & Agile Development process. • Expert in Hadoop configuration and plug-in activities such as installation, configuration of clusters using different Apache full stack and advanced knowledge on major components of Cloud Hadoop Ecosystem platforms - Google Cloud Platform, AWS EMR,EC2, S3 and Microsoft Azure. • Strong experience in data scientist designing and implementation of complex Data Analytics, Data Visualization ,BI/MI reporting, Classification, solutions using Big Data tools such as HiveQL, Spark SQL , Spark Mlib, Spark GraphX, Tableau, Qlikview, Business Objects and Cognos. Hands on experience in building Web AI Dashboards, Linear Regression, Classification , Prediction , Web customized prompts, formatting, drill-through, Crosstab, bursting, Master/details reporting, Graphs, charts, Forecast Analysis , Throughput , Remediation costs and Trend analysis. • Built a strong reputation on customer and stakeholders’ engagement and highly commitment trusted delivery professional on deliverables and creates collaborative environment and recognized for highly initiative, motivated, consistent analytical, problem solving, multi-tasking and capable of managing and accomplishing tasks with or without supervision.