Vijay Purshothaman Sathish
Reston,VA
Summary
Accomplished IT professional with over 16 years of experience specializing in solutions development, particularly in deep learning, machine learning, and big data solutions for Oracle Data Cloud. Proven expertise as an AWS Solution Architect, skilled in system analysis, design, and the development of complex software systems across financial, retail, and consumer markets. Extensive knowledge in real-time analytics utilizing technologies such as Kafka, Spark, and Hadoop ecosystems, complemented by a strong foundation in full-stack development and DevOps practices. Recognized for exceptional technical and analytical skills, fostering effective communication and collaboration to build strong relationships within teams and drive project success.
Overview
16
16
years of professional experience
Work History
Principal Solutions Engineer
Oracle America Inc.
Reston, VA, USA
09.2019 - 07.2022
- Implementing a Contextual Intelligence Platform for Oracle Grapeshot with Neural Networks/ Deep Learning and bigdata to enable rapid creation of highly customized segments that allow marketers to avoid unsafe content for brand safety.
- Machine Learning Workflow Development on Oracle Cloud , AWS cloud with Terraform and ansible.
- Implementing Solution with Analytics Cloud, Data Science Service , OCI Speech Recongition, OCI Functions , OCI Language Services.
- Designed and developed solution with Machine Learning Notebooks on Jupyter.
- Architecting, developing Contextual Intelligence solutions with Oracle grapeshot.
- Provide Deep learning Solutions with complex neural networks to derive contextual intelligence from data.
- Provide ML Solution with NLP , Computer Vision , Audio Speech Recognition with Oracle Cloud Services
Machine Learning Solution Architect
AMAZON Web Services, Inc.
Herndon, VA, USA
06.2017 - 08.2019
- Implemented the Machine Learning for Advertising Solution with Jupyter Spark ML on Elastic Map Reduce AWS Service.
- Designed and architected the solution to consume google campaign manager data format for Advertising and enable Data Scientists to initiate execution of Machine Learning Workflows by Automating the Machine Leaning Infrastructure and providing the start kit ML notebooks deployed on Jupyter Console.
- Machine Learning Workflow Development on AWS cloud with Cloud Formation template.
- Designed and developed solution with Machine Learning Notebooks on Jupyter.
- Designed Machine Leaning Solution with Spark ML on EMR including Jupyter.
- Provided as a solution to DataScientists dealing in Machine Learning with Spark ML by automating the infrastructure needs for execution of Spark ML Pipeline on AWS EMR.
BigData Solution Architect
AMAZON Web Services, Inc.
Herndon, VA, USA
06.2016 - 05.2017
- Implemented the Bigdata Solution on Real-Time analytics with Spark Streaming integrating Amazon platform services with latest technologies like spark and Data Visualization.
- Designed and architected the solution with in-memory optimized framework like spark to perform complex analytics and reduced turn-around time for customer.
- Engaged with EMR service team and travelled to Seattle to engage on best practices to be used on integration of Spark 2.0 with EMR and upgraded the reference application from using Spark 1.0 to use Spark 2.0 from awslabs with major feature upgrades providing as customer reference applications.
- Realtime Analytics Infrastructure Development on AWS cloud with Cloud Formation template.
- Designed and developed solution on Real time analytics with Spark Streaming.
- Designed Analytical Solution with Spark on EMR including visualizing with Zeppelin.
- Provided as a solution to customers dealing in real-time analytics with spark streaming which saved considerable time for clients to set up clusters and integrating with spark and a visualization layer.
BigData Engineer / Technical Lead
Astir IT Solutions, Inc.
Mclean, VA, USA
01.2015 - 06.2016
- Capital One is a Financial Services Company that provides Banking and Credit Card Services to Customers.
- Quantum is a real time analytics platform with distributed computing engine on cloud deriving complex analysis on Credit Card Customer data.
- Complex Event Processing at realtime is required to analyze and provide the customer with a credit line increase, income collection and new product swap information.
- Quantum Analytics Infrastructure Development on AWS cloud with Cloud Formation template and Chef.
- Designed and developed prototype on Real time analytics with Flume,Kafka Streams,Storm,MongoDB.
- Built Enterprise BigData Spark Auto Scaling Engine in Aws Cloud integrating with NoSql Datasource.
- Developed Real Time and Batch Application with Spark using Scala for Complex Event Computing.
- Key Responsibilites include establishing BigData Infrastructure in Aws Cloud , CI/CD pipeline using Jenkins, Chef and Monitoring using ElasticSearch, Logstash, Kibana.
- Team leader on Spark Project with Scala on AWS cloud , Hadoop Ecosystem, Cassandra,Postrges.
- Full Stack Developer implementing prototype for providing data analytics on Income Collection.
- Worked on Hadoop DFS, S3 for extracting the data for analysis.
Hadoop Engineer / Technical Lead
Tata Consultancy Services.
Schaumburg, IL, USA
03.2012 - 12.2014
- Nielsen is a marketing research company that provides marketing research information and systems and tools for analysis to help clients make strategic business decisions, which will give them an edge in a competitive marketplace.
- Global Analytics Platform is a consumer analytics platform among retail analytics providers.
- A consumer demographic analytics platform, targeted at Retailer and Manufacturer clients like Walmart,Kmart,Albertsons.
- Huge Data Capacity is required for the enormous retailers data and to analyze the data of the proposals and provide the Pricing Insights and Pricing Elasticity to the clients.
- Worked in Global analytics platform on Hadoop based Platform.
- Developed prototype and analyzed data thorugh Hive.
- Designed and developed MapReduce Programs for optimal analysis of Pricing Insights and Pricing Elasticity.
- Cloudera Manager administration of CDH4.5.0 includeing 30 data nodes.
- Team leader on projects utilizing Hadoop Ecosystem,Java, Java EE, Enterprise Java Bean, to create fully-integrated Client Reporting Systems.
- Implementation of Critical Application specific prototypes for data analysis with various dimenesions as market,Store,Period and Fact Calculations using Impala.
- Worked on Job Trackers and effective calculation of Reducers and optimal block sizes required.
Software Engineer / Technical Lead
Tata Consultancy Services.
Schaumburg, IL, USA
03.2010 - 03.2012
- Nielsen is a marketing research company that provides marketing research information and systems and tools for analysis to help clients make strategic business decisions, which will give them an edge in a competitive marketplace.
- The Nielsen Answers On Demand (AOD) Platform is the leading consumer analytics platform among retail analytics providers.
- A consumer demographic analytics platform, targeted at Retailer and Manufacturer clients as Kraft and Procter&Gamble.
- The AOD system requires data refresh at the backend every week from multiple upstream systems.
- The existing process completely involved manual intervention, which was trivial for the AOD support team.
- The system was thoroughly analyzed and proposal was provided to automate and improve the backend refresh process.
- Collaboration with stakeholders and business sponsor to translate business and functional requirements into deliverables.
- Engage with architects assigned to design and prototype the platform.
- Team leader on projects utilizing Java, Java EE, Enterprise Java Bean,Composite Information Server,Netezza and Apache Struts Web applications to create fully-integrated Client Reporting Systems.
- Played Critical part in data virtualization using Composite Nielsen Hook and customizing the Netezza Sql queries through conceptual java reducing the report execution time through the Netezza performance server by 25%.
- Implemented the Composite Java Procedure as a Hook code masking the Database through Composite Information Server integrating disparate datasources.
- Worked on Throttling and Cacheing using ehcache Concept to streamline the Query traffic execution against Composite by assigning prioritization levels by determination using Query size Algorithm.
Lead ADF Toolkit Developer
Tata Consultancy Services.
02.2009 - 03.2010
- ADF platform is positioned as The Nielsen Company’s next generation delivery tooling and user experience for Business Intelligence (BI).
- It is global, scalable, flexible, device-aware, role-aware, and presents contextually-appropriate experiences across a wide range of Cognos Reports.
- It enables clients to integrate harmonized Nielsen data sources with their own and 3rd party data to perform world class BI, analytics, and reporting using Cognos and customizing through ADF widgets.
- It also facilitates collaboration across global teams: between clients, client partners, and Nielsen Client Services.
- Involved in complete SDLC, which includes requirement gathering, analysis, design, development, and Implementation.
- Transformed complex business logic into database design, creating datawarehouseing schema’s and maintaining it by using SQL objects, stored procedures, user defined functions, views, T-SQL scripting and jobs.
- Extensively worked in analysis of data and determine relationships and dependencies from raw data.
- Implemented ADF sdk’s from Motio built on top of Cognos Sdk’s connecting to the Oracle Database as a backend to store the changed report connection.
- ADF sdk’s sends request to Cognos dispatcher through SOAP.
- The dispatcher handles the request and pulls the appropriate report through BI Bus and executes it.
- Managed and created dynamic widgets and static prompt in ADF (Application Development Framework) to determine how and where to modify report specification xmls and implement customized functionalities.
- Conducting code review and design reviews for the components which were created.
- Key responsibility is performance tuning including reading / understanding widget plans and alter queries and other database objects.
Lead Meta Data WebService Developer
Tata Consultancy Services.
10.2008 - 02.2009
- MDS – Meta Data Services deals with extending the core services as Metadata Web service to retrieve and fuel the Data Selector constituting Hierarchies, Characteristics and Items.
- The Service enables the Client’s Data selection to dynamic and constructing the Cognos Reports to the customers as per their customization.
- Served in a team comprising of six with Cognos and Web Services.
- Constructing Complex Jaxb Objects and Xml Parsing.
- Transformed complex business logic into Web Services for fueling the Customized Reports.
- Extensively worked on Troubleshooting, Installation, configuration using Hudson Builds.
- Documentations for design, testing, bug fixing status update, on call if necessary.
- Conducting code review and design reviews for the components which were created.
Developer
Tata Consultancy Services.
Cape Town, South Africa
06.2006 - 09.2008
- Sanlam the Insurance Company utilizes Contact Centre Application as a desktop application for Insurance and Client Management.
- The CCA (Contact Centre Application) was implemented in SOA architecture with IBM product stack.
- Business services are implemented as J2EE applications exposing web services deployed onto Websphere Application server, the business process services are implemented as BPEL (Business Process execution Language) using IBM Websphere process server.
- CCA desktop integration requirements for CTI, ContentManager document viewer etc.
- All these applications have been integrated using a Java COM wrapper framework called JacoZoomm with the COM modules.
- Implemented Rich User Interfaces through Eclipse RCP as a thick client for the application.
- Transformed complex Used derivatives and designed using Java Scripts and Ext JS 2.0 Framework and JSP for Front end Development.
- Designed Object Oriented classes structure.
- Testing and Error troubleshooting.
- Documentations for design, testing, bug fixing.
- Conducting code review and design reviews for the components which were created.
- Version controlling for the project was done using VSS.
Education
Master of Computer Applications (MCA) -
PSG College of Technology
01.2006
Bachelor of Science - Computer Science
Madras University
01.2003
Timeline
Principal Solutions Engineer
Oracle America Inc.
09.2019 - 07.2022
Machine Learning Solution Architect
AMAZON Web Services, Inc.
06.2017 - 08.2019
BigData Solution Architect
AMAZON Web Services, Inc.
06.2016 - 05.2017
BigData Engineer / Technical Lead
Astir IT Solutions, Inc.
01.2015 - 06.2016
Hadoop Engineer / Technical Lead
Tata Consultancy Services.
03.2012 - 12.2014
Software Engineer / Technical Lead
Tata Consultancy Services.
03.2010 - 03.2012
Lead ADF Toolkit Developer
Tata Consultancy Services.
02.2009 - 03.2010
Lead Meta Data WebService Developer
Tata Consultancy Services.
10.2008 - 02.2009
Developer
Tata Consultancy Services.
06.2006 - 09.2008
Bachelor of Science - Computer Science
Madras University
Master of Computer Applications (MCA) -
PSG College of Technology