Given the sole responsibility to create a custom, online chat application for phones running Android OS versions later than Android Ice Cream Sandwich (Android 4.0). 1. Set up a real time Database on Google Firebase. 2. Integrated the Google Firebase SDK into the android application processes. The application uses the Firebase Real Time Database, Firebase authentication and Firebase Analytics APIs. 3. Integrated Google and Facebook Sign-in, and Firebase Authentication to authenticate and store user details on the Firebase Database. 4. Integrated both private and group chatting functionalities using asynchronous listeners that listen to changes in specific Database contents with a pop up notification for new messages in either private chat (from a different user), or groups that the user is a member of. 5. The application data persists over multiple application process kills and subsequent re-creation of application instance. Users signed-in are cached so that returns to the application ensure the continuity of the previous sign-in.

My job role as a Data Specialist at IBM India required me to work on data handling softwares that could extract and transform large amounts of data from databases and flat files and load them to data warehouses that were mainly: 1. Oracle 10g database 2. IBM DB2 database The ETL processing involved: 1. IBM proprietary software (IBM WebSphere Datastage) 2. Java parsers 3. Bash shell scripts to ensure metadata consistency in flat files Upon loading into the Databases, SQL queries run on them to obtain results as per business requirements. Automation in production environments involved: 1. Datastage Jobs and SQL queries executed by shell scripts 2. Shell scripts will load results of executed queries into tables on the DB 3. Also create flat files of executed queries 4. Entirely automated using IBM Tivoli (Job scheduling over multiple servers)