AWS Architect | Big Data Architect Resume - Hire IT People

SUMMARY

Over 15 years of experience in the IT industry
Good written and verbal communication skills, highly organized and interact professionally & appropriately at all levels of the organization
Establish strong relationships with senior business and IT stakeholders
Experience in Coaching, Mentoring & Team building
Proficient in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design
A good team player and able to work effectively at all levels of an organization with the ability to influence others to move towards consensus
Excellent Problem solving skills and strong leadership skills, including ability to motivate & inspire teams
Experience in migrating applications / services to cloud
Ability to clearly present concepts of Cloud Managed Services to internal and external clients
Years of experience with Software Development Methodologies like Agile (SAFe, Scrum), Waterfall, etc.

TECHNICAL SKILLS

Cloud: AWS - Cloud Formation, VPC, Route 53, EC2, RDS, Elastic Beanstalk, S3, IAM, SQS, SNS, SES, Code Commit, etc.

Big Data: Hadoop HDFS, MapReduce, Hive, Pig, Sqoop, Flume, Oozie, Zookeeper, Drill, Presto

Distributed Data Streaming & Processing: Hadoop stack, Spark, Storm, Flink, Kafka, Pulsar

Machine Learning: Spark MLIB, Python (SciPy, Numpy, Matplotlib, SkLearn, etc.)

ETL: Informatica, IBM DataStage, Amazon Data Pipeline

ESB: IBM DataPower, WebSphere Message Broker, IBM MQ, Kafka and ActiveMQ

BPM: IBM BPM and JBoss JBPM

Rules Engine (BRMS): IBM ILOG / WODM and JBoss JRules (DROOLS)

Application Servers: JBoss AS, IBM WebSphere, BEA WebLogic and Tomcat

Frameworks: Micro Services, Spring MVC, Java Server Faces (JSF)

Operating Systems: UNIX, Linux and Windows

Languages: Java, Python, Shell Scripting, XML, SQL

Databases / RDBMS: Oracle Database, IBM DB2 / UDB, MySQL, Hive, NoSQL (Cassandra, MongoDB, Elastic search, Dynamo DB), In-Memory (RockDB, Ignite, Redis)

Architecture Modeling Tools: IBM RSA, Microsoft Visio

PROFESSIONAL EXPERIENCE

AWS Architect | Big Data Architect

Confidential

Responsibilities:

Provide technical thought leadership on Cloud & Big Data strategy, adoption, architecture and design, as well as data engineering and modeling
Expertise in deriving product road map and product management activities.
Work with product owners, business SME and data ingestion and reporting architects to identify requirements and consolidate enterprise data model consistent with business processes
Lead and evaluate emerging technology, industry and market trends to assist in project development and/or operational support activities
Prioritize and scale architecture efforts in close coordination with business teams, Data Lake operational team, and other stakeholders
Review business requirements and technical design documents to develop effective data and database solutions
Research, evaluate and recommend tools for Cloud and Enterprise Big Data Platform
Expert level understanding of open source technologies around Hadoop ecosystem
Managing teams across different geographic regions to build and support business applications.
Successful delivery of the projects right from conceptual phase to the final product.

Technologies include: Java, AWS, S3, Kinesis, EMR, IBM RSA, Microsoft Visio, JIRA, Confluence

Senior Solutions Architect

Confidential

Responsibilities:

Architecting, managing and delivering the technical projects /products for various business groups.
Proof of Concept projects in implementing Spark and Hadoop applications using java, python and Scala.
Support and Influence projects/initiatives and drive decisions related to data acquisition, processing and utilization through Big Data Platform
Develop and maintain technical roadmap for Enterprise Big Data Platform for different platform capabilities
Ingesting wide variety of data like structured, unstructured and semi structured into the Big data eco systems with batch processing, real time streaming and SQL.
Expert level understanding of open source technologies around Hadoop ecosystem
Successful delivery of the projects from conceptual phase to the final product.
Implementation of many cloud base applications

Technologies include: Java, AWS, Hadoop, Spark, Kafka, Presto, Microsoft Visio, JIRA, Confluence

Senior Solutions Architect

Confidential

Responsibilities:

Architecting, managing and delivering the technical projects /products for various business groups.
Review business requirements and technical design documents to develop effective data and database solutions
Support and Influence projects/initiatives
Develop and maintain technical roadmap for Enterprise Projects for different platform capabilities.
Expert level understanding of open source technologies
Managing teams across different geographic regions to build and support business applications.

Technologies include: AWS, Java, J2EE, Web Services, JBoss JBPM 6.0 (KIE Workbench), JBoss Drools, ActiveMQ, MySQL, Linux and Microsoft Visio.

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