• 10+ Years of total experience in IT industry working on different – different technologies (5 + in Big Data Engineering & 3 + in MSBI (Business Intelligence & data warehouse). • Have hands on working experience in big data projects (i.e. migration, real-time streaming, sentiment analysis, customer segmentation, fraud detection analysis). • Proficient in building innovative and disruptive solutions for business insights using huge amounts of structured and unstructured data using Big Data eco systems & statistical tools like R. • Big Data strategic planning, technology roadmap for cutting edge technology competitiveness such as Hadoop, HBase, Cassandra, Pig, Hive, Impala, Flume, Sqoop, Oozie, Spark. • Strong knowledge of Data Warehousing Concepts using Ralph Kimball Approach and Data Modelling Techniques like Dimensional Modelling (Star Schema & Snow-Flake), RDBMS concepts such as Tables, Indexes, Stored Procedure, Functions, CTE’s, Table Variables and Stored Procedures. • Experience on designing ETL and ELT solutions using MSBI & Big Data Eco systems components. Also have strong experience in designing BI Solutions (ETL, Reporting, OLAP & Predictive Data analytics) using SSIS and Tableau for variety of different – different business applications. • Hands on experience in performance tuning using SQL Profiler, Performance Monitoring and by reviewing execution plans (estimated and actual plans). • Working experience of SDLC, Build process, waterfall & agile methodology. • Exposure of capturing requirement from business and preparing high level and low level design. Previous Organizations • Sr Data Engineering: Interpret customer specifications and implement solutions through Apache Spark (ETL tools and Python). • On prem Spark and Hadoop: Migrated data from Heterogeneous Data Sources and legacy system (Sql Server,DB2, Access, Excel,Flat Files) to SQL Server databases using SQL Server Integration Services (SSIS) to overcome transformation constraints.