Hadoop/Spark developer using Big Data Technologies like Hadoop Ecosystem, Spark Ecosystem and 3 Years of Experience in ETL and Database Technologies. Hands on Experience in installing, configuring and using Hadoop & Spark compounds. Designed, developed and Automated large Data Pine line using Airflow, Kafka, Sqoop, Flume and Cassandra -NoSql.

The FBI program has goal to build and establish a new platform for a common multi-currency General Ledger and a common Financial Data Warehouse. FBI has modules such as CSA, MAH, GL and GDW. FBI is sourced with fungible and non-fungible data. Main source for FBI are SPIDA and MxG. SPIDA has products such as Loan Agreements and MxG has products such as Derivatives, Deposits and Securities. Common goal of CSA is to publish technical and logical free data to MAH. MAH imposes accounting rules and posts journals to GL. GL helps to generate reports such as Balance sheet and Income statements. GDW is intended to store the subledger information (i.e. the more detailed information per GL account on agreement level) for further analysis of the information provided by the GL.

Responsibilities: • Played a role of End to End test coordinator, interacting with various team including Business, Design and Development and Test Data Management teams.• Involved in Information Data Modelling in building Data Warehousing application. • Preparation of SIT Test Cases for CSA & GDW.• Identification of Test Data in SIT• Tracking and Reporting defects in SIT.• Building test suites to run multiple test cases in a specific sequence.• Processing CSA microflows via OPC and manually.• Followed Agile Model.