Joseph Paul
Cloud Solutions Architect – Azure / Big Data Platform at Tata Consultancy Services
- Role
- Cloud Solutions Architect Azure and Big Data at Tata Consultancy Services
- Location
- Newark, DE, US
- LinkedIn followers
- 500 followers
About Joseph Paul
Over 20 years of experience as IT Solutions Architect. Certified in Generative AI (MS), CDH Hadoop, IoT (MIT) and Six Sigma. Federal Background check SF85P cleared (Public Trust Designation). US Citizen. • Cloud – Migration of legacy SW to Azure / GCP / AWS. Design of Azure based hybrid / multicloud (OCI) solutions including PoC for complex Data Ingestion, Data Processing and DW using ADF, Databricks, ADLS, Synapse / Snowflake, Cosmos DB, Power BI. Migration of OBIEE Application to GCP; Hosting $ 2+ Million Research Information Applications on public cloud. Vendor Selection-to-System sizing to Go Live. Lift and Shift of Legacy applications to multi-tenanted cloud • Big Data Processing: Hands on with Data mining / predictive analysis done on Business data, Security logs, Gene Sequencing, Health Information documents, Media / Social Networks using Hadoop MR, HDFS, Sqoop, Hive, Impala, Oozie, Flume, HBase, MongoDB, Spark, Kafka, Hue, Splunk. • Technology: Hands on coding in Java / J2EE and most programming languages (C#, C++, C, PHP, Scala, Python, R, Scripting). DBA experience with Oracle / SQL Server / MySQL / NoSQL. Worked with Client side and Server side MVC Frameworks including Angular JS, Spring, JUnit, Maven. Data ETL and Integration of data using Informatica and other tools. • AI / Natural Language Processing: Open Source (LingPipe) and Commercial Products (Access Innovations DH Maistro, Wipro-Pingar, Silobreaker) for Ontologies, Indexing, Rule-based Thesaurus, Summarizing, Sentiment Analysis. Health Info (cTAKES with DROOLS Rules Engine); Generative AI, ML, Artificial Neural Networks • Business/Marketing: BI / CI / Analytics / Visualization tools - SAP Business Objects, IBM, Open Source/ SpotFire /Tableau. Digital Marketing, Marketing Research; Social Networks data mining. • Collaboration: IBM Quickr / Connections / Sametime; MS Office 365; Confluence • Security: OpenSSO / ID Mgmt using Sun/Oracle and RSA ClearTrust; SAML based Authentication / Authorization Integration; White hat hacker; Winner of DuPont’s Information Security Award • Roles: CTO / Director of Engineering / Architect - Solutions / Application / System / Network. SDLC including Agile / Scrum approaches. • Portal: SAP NetWeaver, IBM WebSphere, Oracle WebLogic; Knowledge Management • Enterprise: SAP R/3, BW, Military proprietary ERP, Supply Chain Management, SFDC • Bio-informatics: Protein and Metabolic Engineering tools - Proprietary and Open Source • Domain: Banking, Financial Services, Federal Health Info, Life Sciences, Online payments, Travel industry, Military, Data Centers
Experience
Cloud Solutions Architect Azure and Big Data
Nov 2017 — Present · DE, US
In partnership with MS, provide End to End solutions for Companies moving their Data Assets and Analysis on to the Azure Cloud. • Architect End to End solutions for customers (30+) to transform their Business applications by re-hosting and re-platforming these using Azure components and services. • Design Azure based hybrid / multicloud (OCI) solutions including Proof-of-Concept for complex Data Ingestion, Data Processing and Data Warehouses using ADF, Databricks, ADLS, Synapse / Snowflake / Azure SQL DB (Hyperscale), Cosmos DB, Power BI. • Optimize, orchestrate, provide governance and data security using Azure / third-party products to handle batch / streaming data. Insights with ML / AI • Architect for Lift and Shift of OBIEE based application to Google/Azure Cloud. Tools used: ADF, Talend, Python wrapped SQL script, Tableau/3rd party tools • Architect and Developer for Big Data Projects with a stress on Metadata capture apart from processing raw Big Data - using a mix of vendor-based Hadoop Framework / Suite and home-grown tools (Directory Watcher) with some NLP. Agile / Scrum followed religiously for iterative development. • DevOps, Agile and Scrum process followed. • Design and Develop use cases/scenarios for Big Data Processing using Hadoop / Spark and Java. Data Types handled: Flat File (Fixed width and Delimited), JSON, XML, Time Series, RDBMS, Unstructured, Real Time. Components / Tools Used: Apart from Azure ecosystem components and tools, worked with Hadoop (Cloudera), HDFS, HBase, Hive, Spark (Core, Streaming, ML, SQL), Kerberos, Zookeeper, Oozie workflows, Impala, HUE, Sqoop, YARN (logs), Kafka, Eclipse, Tectia, MS SQL Server Management Studio, Nexus, Maven, Git, AVRO, Parquet, Java, Shell Scripts, Active Directory and Sentry based access control, Splunk, StreamSets, CDH Navigator, H2 (Memory DB), MS SQL Server Tests: Smoke Tests for critical components, JUnit, Fortify (Source Code Analyzer), Cucumber (Scenarios), Stress test using Hive queries
Education
College of Engineering Trivandrum
BS, Electronics & Communication Engineering
1974 — 1978
Indian Institute of Technology, Kharagpur
MS, Integrated Circuits & System Engineering
1992 — 1993
IGNOU, New Delhi
MBA, Finance & Marketing
1995 — 1998
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