Aws Architect
Resume:
Santoshkumar Pawar
**********@*****.***
Hackensack, NJ 07601 linkedin.com/in/santoshkumar-pawar
Solutions Architect / Technical Lead
Results oriented Information Technology professional with experience as a Solutions Architecture. Broad background in Software development Experience in Java and J2EE Technologies. AWS Certified Solutions Architect Professional and have a recent hands-on experience in coding, configuring and implementing end to end components on AWS as Lambda, Kinesis Stream (Producers, Listeners/Consumers), EC2(Spring Boot App), ECS(Fargate), EMR (processing big data with Spark), S3, Microservices, Docker. Cross-functional technology solutions through effective application of Lean/Agile principles and frameworks including Scrum, Kanban Method, and Scaled Agile Framework (SAFe). Strong problem solving, logical, planning skills ability to work well as a team, and willing to translate Innovative Ideas into products and projects. Areas of expertise:
Cloud Solutions
Agile / Waterfall Methodologies
Cross-Functional Team Leadership
Software Development Life Cycle (SDLC)
Requirements Gathering
Requirements Gathering
Solutions Design
Technical Design Documentation (TDD)
Continuous Integration, Continuous Delivery (CICD)
Test Driven Development (TDD)
Technical Skills
Core Languages and Frameworks: Java, J2EE, Hibernate, Spring (Boot, Core, Batch), Spark, Web Services, Struts, JSP, JSF, Primefaces, Spark, Servlets, AJAX, JavaScript, Python, Tibco, Rhino, OSGI, React
Operating Systems: Linux, Microsoft
Databases: AWS Arura, DB2, MySQL, Oracle, SQL Server 2008, Snowflake
Version Control Tools: GIT, Perforce, SVN, CVS
Application/ Web Servers: Jboss EAP, Apache Tomcat, Apache Felix, Web sphere
Domain Knowledge: Remittance, eCommerce and Fleet Management
Other Tools: Ant, MVN, KSAR, Compuware Dynatrace, IBM support assistance tool, Jconsole, HProf, Docker, Visio, Lucid Chart, Talend
Cloud Enablement: AWS (Lambda, Kinesis Stream, Aurora DB, EMR, EC2, ECS(Fargate), S3, API Gateway, ELB), Microservices
Dev Ops/CICD: Jenkins, Ansible, Rundeck
Certifications
AWS Certified Solutions Architect - Professional (SAP)
AWS Certified Solutions Architect - Associate (SAA)
AWS Certified Developer - Associate (DVA)
AWS Certified SysOps Administrator - Associate (SOA)
Certified Scaled Agile Framework (SAFe) 5 Agilist
Experience
Western Union LLC, Montvale, NJ November 2017 - Present
Role: Solutions Architect
Project: ATLAS (AI/ML based Real Time Fraud Detection System)
Before ATLAS all Fraud Rules were static in RTRA and based on Transaction attributes or Consumer Aggregated History. Due to sophisticated nature of Fraud, the static rules cannot be modified fast enough to detect new fraud patterns. We have hundreds of hard coded rules and still fraud is possible. The new self/assisted learning statistical Model allowed automated and frequent updates.
Predictive modeling is a process that uses machine learning and probability to forecast outcomes. The model is made up of number of predictors, which are Factors that are likely to influence future results.
Implemented a module called Unified Computer Engine to compute 1000’s of factors in real time, which does aggregation on history records of entities.
Integrated UCE in Spring boot application and deployed same on EC2.
Configure Kinesis stream and produced messages(transactions) in near real time.
Implement Lambda using SAM framework to listen/consume kinesis stream and persist messages in AWS Arura DB.
Implement Spark Job and deployed same on EMR to compute factors for larger entities in offline mode.
Integrate Third party Model execution technique (Open Scoring) to execute models, built by data scientists using AI/ML and to predict real time scores for entities such as Consumers, Agents etc.
Implement custom health checks for application and have worked with AWS Infra team to configure ELB’s and API gateway.
Implement a client-side generic framework to consume these services.
Work with data scientists to use data generated by application which helped them train models efficiently.
Project: ATLAS (Data Pipeline for Data Science Environment)
Implemented Spark Job and deployed same on EMR to compute factors for larger entities in offline mode.
Setup Airflow and create DAG’s to process data and store in snowflake on demand.
Created Airflow DAG with steps to detect size of Large data sets and create EMR of appropriate sizes intelligently to compute complex factors and store in S3.
Read S3 result files and store back in snowflake for model trainings and in Arura DB for Real Time service lookup.
Project: ATLAS (Data Pipeline for Data Science Environment)
Setup DMS, with initial loads and continuous replications tasks from On-Prem to AWS. Heterogeneous: DB2=>AWS Arura Mysql.
Used Cloud Formation templates to setup.
Environment:
Java, Spring, Microservices, Spring Boot, Rest API, JPA, Hibernate, React, AWS Cloud (EC2, ECS(Fargate), S3, Lambda, Kinesis Queue),
AWS EMR, AWS Aurora DB, AWS Cloud Formation, DMS, Airflow, Snowflake, Rest Full web services UNIX, JIRA, GIT, Gradle, Jenkins, Junit, TestNG Agile Framework.
Opus Consulting/ Opus Software Solutions, Montvale, NJ January 2015 – November 2017
Associate Architect
Client: Western Union LLC
RTRA-C-SMART: UI application for RTRA
Implemented features like Transaction Viewer.
CRUD screens to configure parameters dynamically for rules.
Precision Rules (Business users can create and deploy rules directly into Production).
Implemented custom approval flow to approve and reflect changes in production system.
Environment: Java, Spring, JBoss, JPA, JSF, Primefaces, Hibernate, React, UNIX, JIRA, GIT, Gradle, Jenkins, Junit,TestNG Agile
Framework, Ansible, Rundeck.
RTRA-Real Time Risk Assessment (Anti-Money Laundering System)
RTRA-Real Time Risk Assessment (Anti-Money Laundering System).
RTRA is a control system which is rule driven, agile and real time. RTRA monitor’s risks associated for each money transfer, report the risks, and prevent agents from committing fraud on behalf of consumers.
RTRA application will mainly assign risk related to all the transactions based on different regulatory rules configured. Rules are country specific. WU provide support to more than 200 countries around the world at this point and almost 100% transactions flow through RTRA.
Opus Software Solutions, Pune, India February 2012 – January 2015
Associate Architect
Client: Western Union Digital Ventures
R2-Performance Optimization and Benchmarking
WU Digital R2 System is a next generation upgradation of the current WU Digital R1 System and the stakeholders of the project needed confidence that this new system they have architected, and the underlying hardware and software, would deliver the performance, scalability and reliability required of them. In order to provide confidence and comfort to the stakeholders, Western Union undertaken this performance tuning project that encompassed a series of testing/tuning cycle to identify and reduce the bottlenecks so as to get the optimal performance and scalability to achieve the required numbers.
The performances of the current R1 application in actual live conditions were studied and the tests were designed in line with the requirements. During this we studied the profile of the application, hardware configurations used, test methodology/topology, performance tests conducted, the tunings done, the actual performances observed, and the results. This activity has involved finding out processing time of each components right from BigIP/F5 till core backend systems and tuning various servers, components to support/leverage existing software/hardware. During which we used performance improvement tools like Compuware Dynatrace,Jconsole,Gomez and Load generating tools like HP load runner for generating to meet average and peak load TPS requirements and IBM support assistance tool to see memory utilization using gc files and Websphere console to study CPU utilization using tpv files. Taking Heap Dumps and analysing the same to find out Hot Spots in the application. Also prepared SAR reports to evaluate health of boxes where application was deployed.
Environment: Java, J2ee, Hibernate, Linux, Mysql, SQLServer2008, Oracle, WebSphere7, Tomcat, Springs (Core, Batch), Web Services, Apache Felix. Struts, Ajax, OSGI, TLeaf, Compuware Dynatrace, Jconsole and IBM Utilities.
Other Projects for Client Western Union Digital Ventures
R3 US Enhancements on Channel Services.
R2-Optimization’s and Apollo Integration on Channel Services.
R3 International Rollout.
Agent Portal.
Minmax Software Pvt Ltd, Pune, India October 2006 – February 2012
Technical Lead
Project 6: SociableCloud eCommerce Platform
Client: Sociable Cloud Inc., CA, USA.
Project 7: Health Monitor
Client: Teletrac Inc., Garden Grove, California
Project 8: GoldenRouteGenerator, TestBenchController, Driver Interface
Client: Teletrac Inc., Garden Grove, California
Project 9: Other eCommerce Projects
Client: Neonotion Inc. CA, USA.
Education
Bachelor of Engineering (BE)
KBP College of Engg, SATARA, India
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