Paramjit Singh Email & Phone Number

Phoenix, Arizona, United States

- Design and develop robust data architectures and data pipelines to support data ingestion, processing, storage, and retrieval. - Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure. - Optimize data engineering systems and processes to handle large-scale data sets efficiently. - Design.

Phoenix, Arizona

• Sole point of contact for design, implementation and problem solving across machine learning based products; managing devOps and channel partners; building a productive offshore team of 10+ from ground-up, managing.
• Championed the adoption of DevOps practices in Big data lake with 1-click delivery pipelines; applying machine learning and data driven solutions for observability and ensuring effective cluster resource utilization to.
• Partnered with product and engineering teams to implement end-to-end Data and ETL strategy for Global Servicing Data Lake, integrating data from 40+ operational systems, ensuring data governance, observability, GDPR.
• Engineered model governance and compliance strategy for 50+ marketing personalization ML models, ensuring regulatory adherence (PCI-DSS, GDPR), mitigating data privacy and security risks, and establishing transparent.
• Innovated self-serve capabilities and contributed to the community through open source on 3 projectsSee projects section for more details…

Gurgaon, India

Responsible for supporting and optimizing World Service Data Warehouse (WSDW) which integrates information from various operational systems into a centralized data repository with capability to serve the analytical, reporting, and decision-making needs of the World Service business organizationLead design and implementation of scalable and optimized.

Gurgaon, India

• Headed a team of 4 on solution design for batch optimization and visualization for the RBS Risk Platform, an application owned by Group Credit Risk & Finance, which provides the Aggregation, Calculation, Reporting and.
• Led a team of 15 on technical solutioning, liaising with business users to gather and define business requirements and obtaining sign-off from business stakeholders
• Designed logical and physical data model of the Basel 2 solution, incorporating novel entities, attributes, dimensions and facts in the data warehousing environment using dimensional as well as ER modeling
• Delivered professional guidance concerning strategic and tactical planning of Master Data Management
• Designed ETL strategy, incorporating functional and non-functional requirements such observability, reliability, fault tolerance, partition management, data lifecycle and error handling frameworks
• Managed end-to-end development, deployment, and execution encompassing build and quality assurance

Gurgaon, India

• Led a team of 4 on batch optimization and visualization for RBS Risk Platform which calculate risk weight of all company assets to calculate business risk which processed and stored data in a warehouse to enable.
• Optimized Informatica workflows using variety of techniques like pipeline partitioning, parallel session processing, source SQL query tuning, lookup optimization, indexing and pushdown optimization
• Reduced runtime of some workflows by over 70%, highly appreciated by peers
• Built and deployed complex business logics using Informatica, Oracle stored procedures to load data from disparate sources, to efficiently populate target data warehouse and data marts
• Designed innovative automation solutions such as Auto Code and Auto UTP to increase team efficiency

Kansas City, Missouri Area

• Contracted to lead small offshore teams (2-5) at GE client premises…Worked on a project to consolidate 600 existing ledgers into one general ledger environment
• Liaised directly with business users to gather requirements, analyzed Data Architect's functional specs and translated into technical specs documentation for all mappings
• Conducted a comprehensive assessment of source systems for optimal data acquisition strategy
• Designed and customized models for data mart, supporting data from multiple sources in real time
• Wrote powerful hybrid ETLs using mainframe and Informatica to process several TB data in a few hours
• Formulated Cognos powerplay cubes, CQ reports and Impromptu Reports and published to Cognos

Hyderabad Area, India

• Played Role of Mainframe Developer and Onsite/Offshore Coordinator with 3 offshore team members to support FINANCE & HR application and GER (Global Expense Reporting) applications for Employee Reinsurance CorporationMy.
• Analysis, Design and Development using COBOL, RPGII, CICS,VSAM on ZOS and Informatica using DB2 and Oracle
• Responsible for overseeing the Quality procedures related to the project. Recognition: Created process to enable self service for "cheque reprint process" leading to reduction of 100+ helpdesk tickets per annum

Master Of Science - Ms, Data Science, 3.97

Bachelor Of Technology (B.Tech.), Electrical, Electronics And Communications Engineering, 73

Activities and Societies: Folk danceElectronics and Communication Engineering

12Th, Physics, Chemistry, Maths, 82

Physics, Chemistry, Maths