Creating data pipeline from Azure to DBCreated Data flows based on desired functionalitiesCreated transformation on data using expression builder to enrich received dataAble to adapt quickly to new requests in all phases of SDLC, co-ordinate with the Infrastructureteam in case of maintenance and unavailability of application.An effective communicator with excellent analytical capabilities, with a self-motivated andpositive approach within an organization.Hands-on experience for writing UNIX commandsHave worked in complete agile environment attending all scrum ceremonies.

• used HIVE-MapReduce to parse the raw data, populate staging tables and store the refined data in partitioned tables in the EDW.
• fetching data using Sqoop from legacy systems and saving data in hive tables.
• dealt with hive partitioned tables and analyzing data using hive queries.
• inserting data into Hbase tables and creating views for them.

used HIVE-MapReduce to parse the raw data, populate staging tables and store the refined datain partitioned tables in the EDW.fetching data using Sqoop from legacy systems and saving data in hive tables.dealt with hive partitioned tables and analyzing data using hive queries.inserting data into Hbase tables and creating views for them.dealt with snapshots in HBASE for data backup and restore.

It is a project of predictive analysis where we receive data from urban pharmacies and applying some business logic on it , we try to predict the data for rural areas as well and develop and joint report for it.

used HIVE-MapReduce to parse the raw data, populate staging tables and store the refined data in partitioned tables in the EDW.

5. Translated requirements and functional designs into technical designs.
5. Responsible for day-to-day systems maintenance, space monitoring, file systems maintenance, performance monitoring, and tuning.
5. Monitoring logs using grep.
5. Process monitoring.
5. Provided technical production applications support and assistance to customers.
5. Analyzed Unix production related issues, inquiries and requests.
5. Provided feedback and developed production support procedures.

Modify/create Unix scripts for scheduling various data cleansing scripts and loading processWork on all issues related to database and Unix scripts.Create Tables/Stored Procedures/Triggers/Views.Generating daily Status report through script & sending to clientUsed SQL Loader to load bulk data to tables.Wrote database triggers to ensure validity of dataTuned SQL queries with hints, created indexes, used Oracle bulk binding for faster execution ofthe conversion process.Involved in writing database packages/procedures/functionsTuned SQL statements using explain plan and logical grouping of the database for the project.