Client: Apple IncProject: Event Streaming Platform (BigData Technology Stack) • Intelligent and robust near to real time event streaming platform using Apache Spark,Kafka and Scala as Programming Lang. • Design of HBase (No sql) tables to handle huge amount of data • Leveraging features of Hbase like bulk get and bulk put for faster reads and writes respectively • Analysis and Logical Interpretation of data set to calculate meaningful and desired metrics . • Writing Spark Streaming jobs to process incoming data as Kafka streams,process,sanitize data and write the sanitized and processed data to HBase • Wrting distinct Spark Batch jobs to perform multiple operations(as desirable) on sanitized data • Aggregation Spark job – Performs time based roll up on santized data • Graph event Spark job – Inserts data into Titan Graph DB by forming bidirectional edges and vertices using graph relations • Baseline Spark job – Performs mathematical analysis on roll up data to predict abnormalities such as outliers • Implementation of Timeseries Algorithms Holts-Winter Seasonal method, Triple Exponential Smoothing , Single Exponentional Smoothing algorithm • Implementation of Confidence band intervals code using above mentioned Time Series Exponential Smoothing Algorithms • Outlier Spark Job – Detects outliers and raises alerts on the basis of confidence band calculated using Baseline job. • Design and implementation of fail over mechanism for Spark jobs using Kafka • Implentation of Logging for Spark master and executors for future troubleshooting.Client: Apple IncProject:World Wide Developer Relations – Admin Tool Rewrite• Admin tool rewrite for Apple World Wide Developer Relations from Struts and Hibernate to JAX-RS framework using Jetty.• Understood the old architecture of app to provide a good implementation of app in JAX-RS • Writing optimized SQL queries to handle enormous production data• Unit and Integration testing of developed application

Migration of Data Extraction Utility Software from Java to C#