Praveen Thomas

Held dual positions of solution architect and technical program manager for analytics applications. Managed timely delivery of high-quality applications across various projects. Simultaneously directed technical solutioning and people management initiatives. Engaged with Johnson & Johnson in the life sciences industry to fulfill requirements. Expertise in developing applications using Cloudera Hadoop tools for robust data solutions. Utilized Azure and Databricks for cloud-based application development to improve performance. Incorporated generative AI elements to enhance user experience within applications.

· Architected and managed multiple projects simultaneously in Life Science Domain.

· Built supply chain and clinical trial data engineering and analytics applications in Medical Device and Pharma sectors respectively.

· Solutioning, designing and building big data analytics applications build in Cloudera Hadoop and Azure Cloud

· Expertise in building big data Hadoop analytics applications using HDFS, Sqoop, Hive, Impala, Map Reduce, Spark, HBase, Kudu, Pig, Oozie and NiFi.

· Experience in building Azure applications using Data factory, Data Lake Store, Blob Storage, Databricks, HD Insights and Synapse

· Building streaming applications using Kafka and Spark Streaming

· Building data warehouse applications using Teradata

· Used ETL tools such Informatica and Talend

· Build pilot and POC application using GenAi using OpenAI LLM and secured Ai agteway integration

· Application orchestration and scheduling using Control-M, Tidal, Oozie, NiFi, ADF

· Reports are build using Tableau.

· Programmed using Python, Java, Scala, and Shell scripts.

· Implemented CICD using JIRA, BitBucket, Jenkins and JFrog Artifactory

· Performed POC on Snowflake, Denodo, Cloudera Search, Solr, Tesseract, NLP and CICD

· Experience in building front ends using python flask and Streamlit.

· Trained in GCP and AWS

· Expertise in building applications in Agile

· Prepare and present the effort estimations, design proposals and value additions.

· Coordinate with business and technical stake holders directly at Onsite.

· Ensure the end-to-end delivery including the quality of the delivery.

Managed and delivered successfully multiple teams and programs simultaneously.

• Build lead of Service Abstraction Layer (SAL) component in retail sector
• SAL is an adaptor and orchestration component between Online and Store applications and the core application.
• Build using J2EE, REST services, JBOSS, Jersey, maven, svn and Sonar.
• Lead a team of 20 members

• Solution Architect of Archive and Retrieve component of a health care PACS (Picture Archive and Communication System) application.
• Designed and implemented the application using Core Java, SQL and VMs
• Used the tools Rally, Code Collaborator and Perforce
• Project Lead of CT Modality subsystem application development team
• Involved in design and development of different services like scan request service, tube cooling service and logger service.
• Involved in design and development of different GUI modules like UI framework and scan settings app.
• Designed and developed an integration test framework.
• Build using Core Java, OSGi, Swing, Junit, Maven, Mercurial, Sonar, Coverity, Rally, Code Collaborator, JProfiler and Visual VM
• Technical Lead of build automation team for CT Modality subsystem application
• Automated the entire build process including code validation for the entire CT modality application development in different geographies.
• Automation tool build using Python and SQL
• Worked both at Offshore and Onshore

• Designed and build the server side of a Clinical Data Management system.

• Designed and developed Multi Media Manager (MMM), DICOM Network Manager (DNM), Job Queue Business Layer (JQBL), Job Queue GUI Layer (JQGL) and Data Explorer GUI Layer (DEGL) modules in MR Modality System
• Application developed using VC++ and MFC.