Installed and Configured Cloudera (CDH 6.2) platform (24 node prod and 10 node dev/test cluster) for Data masking and encryption project to protect personal and sensitive data. The programs were developed in Scala/Spark/Hive to handle high volume transaction data in batches. Documented existing process and created user documents for the process. Architected and prepared future roadmap for Hybrid (On-Prem and AWS) platform integrated with high volume and real time data pipeline (Kafka), Data processing system (Spark/Scala/Hive) and data presentation layer (SnowFlake/Denodo). Worked with Business Teams to identify potential use cases which could leverage big data solution and converted it to reality.

Big Data solution implementation to streamline the clinical trial process (collecting the medical records, mapping and processing) for a major Pharmaceutical firm on Hadoop & Spark on-premise platform by Cloudera distribution. ● Collaborate with business users and management to identify business optimization opportunities, translate it to business requirements.● Solution and technical architecture - weighing platform options (On-prem vs Cloud), selection of right integration and data processing tools ● Socialize the solution with engineers and Data Scientists.● Responsible for designing end-to-end (Data Extract, ingestion , cleansing, Load, Transformation) of clinical data for Data Scientists to create actionable items on transformed data.● After implementation processes - Identify processing bottlenecks, propose solution, optimize the processes technically to meet SLA like Hive table optimization by partitioning and bucketing, choosing right input data input format and enabling right performance parameters to give better execution optimization for Hive QL queries.● The solution was built on Hadoop / Hbase platform with Sqoop, Python, PySpark, Hive. ● Real time data integration using Kafka for critical trials.● Followed Agile/Scrum methodology.

Big Data Centre of Excellence – To avoid data redundancy and multi system integrations, Big Data COE program was initiated based on Hadoop / Hbase as platform and Python as data processing engine. I was managing Data integration/pipeline with financial systems.Involved in project implementation with Agile/Hybrid methodology.Identify data sources, create source-to-target mapping, storage estimation, provide support for Hadoop cluster setup, data partitioning. Involved in creating tables in Hive and writing scripts and queries to load data into Hive tables.Involved in data pipeline using Pig, Sqoop to ingest financial transaction data and customer histories into HDFS for analysis. Keeping Cisco’s long term strategy of customer success and New product lines (software and cloud of subscription nature) formed a high performing IT delivery team and managed revenue making projectsCountry enablement – Upgraded ERP platform from Oracle 11i to R12 and enabled BRICM countries (Brazil, Russia, India, China) in the system. This enabled additional revenue of $1.1 business for Cisco meeting the SLA of jobs set by business.Subscription Platform – Managed the build, and enabled business operations in a platform which is designed for subscription/recurring based billing, which helped Cisco for additional revenue of 400+ million/year in a two-year span.Revenue Management – Managed the build of a custom platform for Revenue recognition (NGCCRM) To meet Cisco’s complex revenue requirements. This avoided a revenue gap in Millions.

Designed and Championed for Cisco's Single ERP instance - Cisco one (Oracle R12) which brought down the complexity of legacy system (Multiple instances of Oracle 11i) improving performance of daily operations.Gave head start to IT delivery team to build the technical foundation for Oracle R12 even before business getting involved and this helped an early delivery of the system to business.

Solution Architect/Technical Lead Automated payment system - WebEx revenue is based on a customer base distributed between enterprise and Small business customers, and needed a platform to support High volume/low value transactions with Credit Card payment process. Designed and built a scalable credit card payment solution based on PaymenTech payment tool integrated with Oracle iPayments. Additional $300+ M Revenue for WebEx.Oracle BRM (Billing and Revenue Management) – WebEx proprietary Billing system was not scalable for high transaction volume.As a solution, Implemented Oracle BRM and integrated with Oracle ERP, Resulted in smooth business operation.

Hands-on technical lead for 11i to R12 migration (R12 configuration, Data Migration) Implementation of Oracle Financial modules for Sun Microsystems, Dell (Austin). Primary focus was on AR and Oracle Incentive comp (OIC) implementation.

Techno-functional lead to customize the APS (Oracle ASCP) implementation to suit Qualcomm business needs.Implemented the APS solution for Qualcomm with a Lean team exceeding the time expectation by 3 weeks. This is achieved by simplifying the proposed solution by Major consulting company.

Implemented solution for COGS and Drop-ship requirements for Verifone. This eliminated tedious manual JV adjustment creation and streamlined drop-ship process. Saving of $400k resource effort/qtr.

Implemented solution for Deferred Revenue Recognition (AR) requirements, 11i upgrade preparations (data migration), Implementation of iExpense and customization of OM (RMA process).

System Configuration & Data Migration – Configured new set of books, Legal Entities, operating units and inventory organizations for US operation and other setups like item templates, categories, sourcing rules etc Work as solutions architect for data migration of Manufacturing modules (POs, BOM, Items..etc)

Implemented simplified solution for Sun's Material transfer process and Revenue recognition.Upgrade of Oracle Applications version 10.7 to 11i - Evaluate / implement/setup Oracle Application 11i make sure it satisfies all business needs for Sun. Modules OM, Advanced pricing, AR, Inventory, BOM.