Vibin
Technology Architect @Cognizant
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WORK HISTORY
Technology Architect @Cognizant
Milton Keynes, GB
Predictive Analysis on Large Data Volumes: Proficient in performing predictive analysis on large datasets. Utilize PySpark for scalable data processing and analytics1.2. PySpark-Based Data Processing: Experienced in data processing using PySpark. Leverage PySpark’s data manipulation functionality for efficient data handling.3. Azure PaaS Services: In-depth knowledge of various Azure Platform as a Service (PaaS) offerings: Azure Data Factory, Azure Blob Storage, Azure Data Lake Storage Gen2, Azure Key Vault, Azure Logic App3. Data Migration: Successfully migrate data from diverse source systems: API-based data, On-premises databases, shared paths etc.4. Data Modelling and Business Functionality: Understand data modelling principles. Align data solutions with business requirements.5. Documentation and Design: Create functional specifications for different interfaces. Develop technical design documents for ETL pipelines.6. Azure SQL Server: Work with Azure SQL Server, adapting to different tiers based on volume and cost-effectiveness.7. CI/CD for Azure Services: Implement continuous integration and continuous deployment (CI/CD) for Azure services. Build pipelines for various interfaces.8. Collaboration and Issue Resolution: Collaborate closely with onshore/offshore teams. Analyse and resolve bugs and defects in SIT/UAT/PROD environments promptly.9. Knowledge Sharing and Quality Assurance: Train and coach project members for effective knowledge management. Deliver work with minimal defects, emphasizing quality.
EDUCATION
EMEA College Kondotty
Bachelor of Science (BSc), Computer Science
College of Engineering Trivandrum
Master of Computer Applications - MCA, Computer Science
College of Engineering Trivandrum
Master's degree, Computer Science
SKILLS
ABOUT VIBIN
I am a Lead Data Engineer with over 13+ years of industry experience in data analysis, modeling, and engineering across diverse domains such as banking and finance, manufacturing, telecom, and logistics. I have a strong background in leading-edge technologies such as Azure Databricks, Azure Data Factory, Pyspark, Spark SQL, Delta Lake, Azure Blob storage, Logic Apps, Power BI, AWS S3, Athena, EC2 and Talend Studio (Big Data), coupled with extensive database expertise in Amazon Redshift, SQL Server, hive, MySQL, PostgreSQL etc.Currently, I work as a Lead Data Engineer | Data Analyst | Data Modeler at Network Rail, where I design and implement data warehouses, develop and load data using various tools, and model dimensional (Data Vault) and transactional systems. We adhere to Agile Scrum project and CI/CD delivery methods, ensuring timely delivery of high-quality results. My goal is to architect robust data solutions that drive actionable insights and business growth for the UK\'s railway infrastructure operator. I also hold multiple certifications in revenue assurance and machine learning with big data, demonstrating my commitment to continuous learning and professional development3
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