● 17+ years of hands-on experience leading all stages of system development efforts, including design, architecture, integration, testing, and support● 5+ years of experience in data integration, systems design, development and executing solutions for complex business problems involving large-scale data warehousing, real-time data analytics, and reporting solutions● 3+ years of hands-on experience working with the Hadoop ecosystem using Hadoop, MapReduce, HDFS, Spark, YARN, Flume, Sqoop, Kafka, Hive and Impala● 2+ years of hands-on experience in building scalable, robust and large-scale batch and real-time data pipelines in the Cloud with Amazon EMR, Databricks, Kafka, Amazon Kinesis, S3, AWS Glue, Amazon RedShift and Azure Data Factory● Solid understating of Data Lake architecture and its implementation in On-Premises and in the Cloud● Solid understanding of distributed processing framework and data architecture patterns such as Lambda, Kappa, Event driven Architecture, Microservice etc.● Highly skilled in ETL tools such as Talend, SSIS, Azure Data Factory and relational database modeling, SQL Joins, performance tuning and optimization of queries and stored procedures using SQL Profiler, Execution Plan and Performance Monitor● Proficient in Java/J2EE technologies like Spring, Hibernate, JSP, Servlets, EJB, JDBC, JMS, XML, web service using IDEs like Eclipse● Proficient in Microsoft .NET technologies like WCF, LINQ, Entity Framework, ASP.Net Web Forms, ASP.NET MVC, ASP.NET Web API, IIS, C# and VB.NET● Strong computer science fundamentals including data structures and algorithms, and when to apply them● Well versed with Agile methodology● Articulate, confident communicator experienced with written and oral presentations● Extremely motivated, able to work smoothly even under pressure, meet deadlines in advance, ready to accept new challenges and quickly adapt to new technologies