• Handling Big-data, multiple data source & perform data transformation using tools like SQL/Alteryx/Attunity Replicate/Hadoop/Informatica.
• Understanding the Business problem related to Fast data (need to land data in data lake in high frequency).
• Solving business problem through visualization techniques using tools like Qlikview.
• Ability to get Insights from Data and communicate through story-telling to business user
• Work collaboratively with cross functional teams to execute and develop dashboard solution

Big Data:

1. Framework – Hadoop & Spark
2. Storage – HDFS & AWS
3. Processing – MapReduce & Apache Spark (Spark Core – RDD & Spark DataFrames & Spark Datasets)
4. Ingestion – Apache Sqoop, Ni-Fi
5. Query Language – SQL & HIVE
6. Scripting – Shell Script, Apache Pig
6. NoSQL – HBase
7. Streaming – Apache Kafka, Spark Streaming
8. Scheduler – Oozie, Airflow

Data Visualization: Tableau

.NET Development: C#, ASP. NET, SQL Server, ADO. NET, LINQ, Lambda Expressions, Webservices, Windows Communication Foundation (WCF) , REST API, MVC, JavaScript, jQuery, HTML, CSS.

UI Frameworks: JavaScript, jQuery, Angular JS, HTML5 & CSS