Saikat Mukherjee

Background

About Saikat Mukherjee

Around 18+ years of IT experience on Data Analytics, visualization, Product Management and Software Development in the field of Business Intelligence and DWH. Currently working as Technical Product Manager/Senior Data Analyst for last 10+ years for various projects.•Expertise in designing, development, requirements gathering, Requirement analysis, Writing BRD, Functional Specs & technical documentation, POC for evaluation new tools, test & data management, Test Planning & User Acceptance Testing.•Experienced in Technical Product Management skills, Scrum (agile) methodologies, Project roadmap planning, Cost Estimation, Sprint planning and Tracking of deliverables. •Prepare and present program and project status to key stakeholders at regular intervals. •Experienced in coordinating and leading teams across cross-functional vendors and Onshore/Offshore model of working.•Strong Teradata/Hadoop/Spark SQL and Oracle skills that include build/maintain data marts and aggregates, PL/SQL scripts, Procedures, various Teradata features like FastExport, FastLoad Oracle features like Triggers, Packages, Functions and performance tuning.•Expertize in data loading, data extraction, data mining, data reporting, data visualization (using tableau), Web Analytics, Customer Analytics, data management, performance tuning & data migration. •Perform Project Risk & Scope Analysis by understanding business requirements, existing business processes and suggest improvement through extensive Data Analysis and data research.•Extensive Hand-On expertise in Teradata, Big data technologies (e.g. Hadoop, Hive, Spark Sql), Vertica, Python, Sqoop, Oozie, Oracle, Tableau, Unix scripting etc.•Strong Data Modeling experience and designed ER diagrams, 3NF, Dimensional/Hierarchical data models, Star and Snowflake schema data models.•Delivered projects on data profiling, data migration from various legacy sources to OLAP/OLTP target applications (like Oracle/Teradata) OR HDFS systems.•Experience in the assessment of existing platform architecture framework, evaluate software and hardware technologies, re-engineering and implementation of data strategy•Knowledge on AWS services, Google Analytics, Machine Learning and Statistical Data Analysis modules.•Experience in SOA, agile and waterfall methodologies and handled change control management and CMM audits.•Experience maintaining Project repositories and preparing Project documentations, training materials and user guide materials.