Acerca de Dinesh
an experienced IT professional with several years of IT experience in solution/technical architecture, legacy modernization, project management, modern data & AI/ML technologies.
Throughout my career, I have led and delivered complex programs in both traditional Waterfall and SAFe Agile environments, primarily in the BFSI domain. My responsibilities have included designing scalable architectures, driving large-scale integrations and data migrations, and transforming legacy monolithic systems into modular, microservices-based platforms.
I have strong experience in both legacy technologies (Mainframe, DB2, IMS) and modern stacks, including Python, R, Spark, Hadoop, Kafka, and cloud platforms (Azure, AWS), along with a variety of SQL, NoSQL and distributed databases.
I have great hands-on in creating data & AI/ML pipeline, feature engineering, Cross-validation, Model Evaluation (AUC, Precision, Recall). Libraries known: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, ggplot2, Shiny and many more.
I have worked on several tools: JIRA, Confluence, GitHub, MS Project, Visio, Miro, Draw.io, Eclipse, PuTTY, WinSCP, Postman, SOAP UI, ServiceNow. Also has deep domain knowledge of Insurance, Banking and Financial services.
I am an excellent team player, fast & enthusiastic learner, dedicated towards work. I am flexible and Innovative with strong analytical & interpersonal skill. I am capable of managing and delivering tasks within stringent timelines and always aligned towards IT strategy to meet the company’s visions.
Inglés
Bilingüe o nativo
Hindi
Bilingüe o nativo
Acepta trabajo presencial
Viena (hasta 50 km)
Experiencia
- TU WienStudent @ TU Wien Data Science Departmentfebrero de 2024 - Hoy (2 años y 4 meses)Vienna, AustriaHands-on experience with end-to-end Data and ML pipelines, including data preprocessing, feature engineering, model training & tuning. Familiar with several classification, regression and linear/non-linear models (Decision Tree, KNN, Random Forests, Logistic, Lasso, Ridge). Skilled in big data tools (Hadoop, Spark, MapReduce) and visualization (Matplotlib, Tableau). Explored recommender systems (collaborative, content-based), including cold-start and hybrid scenarios.
- Allianz Technology,Mainframe Modernization Expert | Solution Architect | Product Ownerjulio de 2022 - Hoy (3 años y 11 meses)Austria• Led modernization of Allianz Business System (ABS), transforming monolithic mainframe PL/I batch systems into modular Java components integrated with microservice and event-based, cloud-ready architectures.• Analyzed existing systems and processes to identify opportunities for application modernization, batch optimization and performance improvement.• Designed and implemented batch process frameworks and data pipelines using PL/I, JCL, DB2.• Developed proof-of-concept for mainframe-to-cloud modernization using hybrid integration patterns, aligning with enterprise cloud and API strategy.• Executed data migration of operational data (customer, policy, claims etc.) from old legacy system to ABS.• Mentored & guided cross-functional teams during implementation and data migration.
- Allianz Technology,Senior PL/I Developer → Project Lead → Technical/Solution/Data Architect | Project Managerenero de 2014 - junio de 2022 (8 años y 5 meses)IndiaMainframe Development & Modernization:• Designed, architected and implemented complex batch PL/I systems supporting ABS across multiple global entities.• Delivered large-scale data migrations (customer, policy, claim etc.), from old legacy to new ABS system.• Developed migration and ETL strategies, including mapping, cleansing, validation, and reconciliation.• Integrated third-party systems and internal components into ABS and batch frameworks.• Supported end-to-end modernization initiatives, transforming monolithic processes into modular, scalable solutions. Solution Architecture & Project Leadership:• Led digital transformation initiatives to implement ABS across global entities (Greece, Turkey, Australia, Africa, Sri Lanka), transitioning from legacy to modern platforms.• Managed 5 cross-functional Agile teams across 4 global delivery centers, delivering 50+ releases, 200+ features.• Transitioned traditional waterfall teams to Agile from 2017; promoted Agile practices across delivery.
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Formación
- Cloud & Architecture: AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals AZ-900Cloud & Architecture: AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals AZ-900
- Agile & IT Management: SAFe® 5 Agilist, SAFe® 5 PO/PMAgile & IT Management: SAFe® 5 Agilist, SAFe® 5 PO/PM
Certificados
- Mainframe: IBM Enterprise PL/I (000-041).IBM2008