Anshu Agrawal
Solution Architect @IBM
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WORK HISTORY
Solution Architect @IBM
Raleigh-Durham, NC, US
Architected high-performance, resilient and scalable microservices design, management, orchestration and monitoring to support ESA’s real-time processing of upstream data, byfollowing the industry best practices- Researched and created proofs-of-concept using open source tools/technologies suchas gRPC, Python, Apache Ignite, Istio, Docker, Kubernetes, Apache Kafka to help drivethe over-all microservices architecture and application framework incorporating Scalability,Maintainability, Adaptability, and Performance Optimization- Evaluated and identify the best tools/technologies for data processing/engineering –Python, Spark, Big Data tools such as Hadoop, or other languages frameworks or tools- Developed Spark jobs to carry out batch and near-real time data processing
EDUCATION
Vellore Institute of Technology
Bachelor’s Degree, Computer Science
Carnegie Mellon University
Master’s Degree, Information Systems Management (Business Intelligence & Data Analytics)
SKILLS
ABOUT ANSHU AGRAWAL
I\'m a technology enthusiast with a strong technical and analytical skills. Currently, I\'m working at IBM as a Solution Architect, designing and implementing near-real time and batch systems using Cloud native technologies. I\'m a Carnegie Mellon University graduate with a Master\'s degree in Information Systems Management (Business Intelligence & Data Analytics concentration).I have over 8 years of professional experience working in all phases of Software Development Life Cycle (SDLC) starting with requirement gathering, analysis, technical design, development, testing and maintenance using the agile methodology and by collaborating with cross-functional teams. I have over 4 years of experience working in Big Data and Cloud Computing. I\'m keen on working on opportunities in Big Data Analytics/Cloud Computing field where I can leverage my experience, skills, and knowledge to help the business grow.Technical Skills:•Technologies: IBM Cloud, Spark, Kafka, Kubernetes, Docker, Elasticsearch, Logstash, Kibana, Hadoop Ecosystem, Cassandra, DB2, Amazon Web Services, Microsoft Azure, J2EE, XML, JDBC, Spring Boot, Java Web Services (REST & SOAP), Log4j, Maven, Oracle 10g, Tomcat 7.0Programing Languages: Java, Python, R, Scala, SQL, PL/SQL•Design Patterns: Singleton, Factory, MVC, Front controller, DAO, DTO•IDE: Eclipse, NetBeans, IntelliJ IDEA; Tools: Toad, SQL Developer, SVN, Git, JIRA; Operating Systems: UNIX, Linux, Windows
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