Raja Sekhar Godavarthi

• 11 years of experience in building the data centric applications
• 8+ years of pharmaceutical domain knowledge and developed various solutions for their sales, CRM(i.e. salesforce effectiveness), master data management (Kalido DIW and MDM), marketing (i.e. event management module), aggregate spend reporting for USA sunshine acts
• 3+ years of experience in big data analytics and majorly helping the spark developers with Business Intelligence knowledge (i.e. change data capture/data modelling/data profiling)
• Hands on experience in developing the enterprise grade unified data models for commerical, finance and various healthcare domains
• Lead team of data modelers and worked with data goverance during the design, review and approval phases of the project
• Worked with enterprise data architects, data governace teams in redifining the existing strategies
• Have experience on cloud computing services (i.e. Certified AWS solution architect associate) and cloud datawarehousing (i.e. snowflake) products
• Developed integration solutions between Salesforce and big data using streamsets
• Expert level of development experience in cloud integration using IPASS platforms like Dell Boomi and Informatica Cloud
• Hands on experience in creating Star Schema and Snow Flake Schemas
• Knowledge in setting up the data platform for advanced data science projects

• Worked as solution design expert for DICE Australia development project

• Lead the requirement workshops, data profiling activities

• Acted as delivery point of contact for data related work with weekly reporting status

• Designed the end to end sales reporting approach. This includes the following

• Incremental and full load data ingestion processes

• created the conceptual, logical and physical data models to

• support the common reporting needs of Sales and Activity

• data

• written architectural, design specifications

• Delivered the customer 360 reporting for Australia which is most challenging task in entire DICE applications

Tools and Technologies: HIVE, HIVE, Impala, HUE, Airflow, Streamsets, Oracle SQL Developer, Cloudera distribution, Spark

• Monitoring daily batch jobs scheduled for data flow from source systems to BIGS, addressing any failures/gaps in the flow

• Communicate source system related issues to source system expert and resolve

• Respond to User queries

• Handling Kalido MDM and DIW data as well as tool level issues

• Deployment of enhancements in ASPAC region

• Client interaction (includes bi-weekly calls to discuss pending data issues and performance issues)

• Provided quality support to the user/client within the SLA (Service Level Agreement)