Paramjit Singh

Paramjit Singh Email and Phone Number

Senior Staff Data Engineer at SoFi [Big Data, AI/ML] @ SoFi
san francisco, california, united states
Paramjit Singh's Location
Greater Seattle Area, United States
Paramjit Singh's Contact Details

Paramjit Singh work email

Paramjit Singh personal email

About Paramjit Singh

Accomplished Software Engineering Leader with 15+ years of experience driving cohesive teams through complex, large-scale projects in the financial and insurance sectors. With deep expertise across data warehousing, business intelligence, and modern data platforms like Snowflake, Databricks, and PySpark, I bring a strong technical foundation in Python, SQL, and cloud architecture. I specialize in building scalable data solutions and high-performance analytics environments. Passionate about continuous process improvement, I focus on automation, machine learning, and AI to drive innovation and efficiency. Known for strong relationship management, I consistently exceed expectations, delivering impactful results for high-profile clients.

Paramjit Singh's Current Company Details
SoFi

Sofi

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Senior Staff Data Engineer at SoFi [Big Data, AI/ML]
san francisco, california, united states
Website:
sofi.com
Employees:
1641
Paramjit Singh Work Experience Details
  • Sofi
    Senior Staff Data Engineer
    Sofi Sep 2023 - Present
    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 solutions that can scale horizontally and vertically. - Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs. - Effectively communicate complex technical concepts to non-technical stakeholders. - Optimize data engineering systems and processes to handle large-scale data sets efficiently. - Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations. - Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls. - Provide mentorship and guidance to the data engineering team, fostering a culture of continuous learning and innovation. - Contribute to hiring and training efforts to build a skilled and motivated data engineering workforce.
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  • American Express
    Senior Engineer I
    American Express Jan 2015 - Aug 2023
    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 performance, and heading a team of 15+ vendor resources; showcasing and marketing team accomplishments to senior leaders, projects included…Fingerprint: Workload Optimization:Enterprise Customer Graph: ADAPT: Global Servicing Data Warehouse: Hadoop Dynamic Queue Allocation: Global Commercial Payments: BigBatch: Where’s my Data?: Quick ETL: Nucleus: xFeed: See projects section for more details…• 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 optimize E2E data pipeline execution from 96 hours to 17 hours• 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, PCI compliance, scalability, fault tolerance and efficient querying capabilities• 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 model reporting, fostering responsible utilization of customer data• Innovated self-serve capabilities and contributed to the community through open source on 3 projectsSee projects section for more details…
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  • American Express
    Lead Developer
    American Express Aug 2012 - Dec 2014
    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 solution for complex MIS for Global Dispute Management process of American Express.Recognition : Built an innovative tool to automate generic build activities for Informatica ETL processes that enables to decrease time-to-market, standardize the process and achieve huge cost avoidance.The tool is capable to automatically build the Informatica code (mapping/sessions/workflow) as per the user defined template in few clicks.
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  • Royal Bank Of Scotland
    Technical Lead
    Royal Bank Of Scotland Jun 2009 - Aug 2012
    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 Analysis facilities for Basel 2. Led efforts to update the application to meet Basel 2 Advanced qualification requirements, and demonstrate the use of internally derived rating models for risk grading and scoring• 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• ClearCase Integrator for the project, bringing together substance, product, organization and referential data for all technical and functional trackers raised by UAT and business users
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  • Royal Bank Of Scotland
    Software Designer
    Royal Bank Of Scotland 2009 - 2010
    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 business report generation aggregation and analysis facilities for Basel 2• 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
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  • Swiss Re
    Onsite Lead
    Swiss Re 2005 - 2009
    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• Received a Pat-On-Back award for an innovative solution to maintain data hierarchies
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  • Mahindra Satyam
    Senior Software Engineer
    Mahindra Satyam 2004 - 2009
    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 responsibilities included• 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
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Paramjit Singh Skills

Domain Experience Ibm Technical Specs Location Community Perl Netezza Cost Agile Methodologies Streams Data Cleaning Toad For Oracle Grounding Reinsurance Data Import/export Power Analyzer Requirements Gathering Design Loading Data Transformation Toad Disbursement Routers Design Strategy Cubes Requirements Analysis Human Resources Qualification System Ods Strategies Enterprise Architecture Variables Tws Policy Actuarial Science Modifying Scripting Documentation Project Management Software Project Management Sams Hardware Consultancy Services Ledger Hostile Environments Yahoo C Coordination Retail Vsam Maxl Hal Communication Modeling Resource Management Consolidating Mvs Microsoft Access Vba Metadata Parsing Flows Oltp Fetch Business Logic Service Levels Fileaid Passport Data Acquisition Responsibility Six Sigma Usa Firewalls International Salt Agile Project Management End To End Facts Cognos Upfront Credentials Client/server Software Development Accounting System Automation Ims Db/dc Writing Europe Version 7 Overseeing Debugging Expenses Cds Oracle Database Finance Geometric Dimensioning And Tolerancing Caching Informatica Power Center 8.6 Physical Design Pc Onsite Offshore Model Viz Olap Db2 Enterprise Data Database Administration Tortoise Svn Cerner Ccl Accounting Workflow Methodology Ab Initio Networking Microprocessors Trac Communication Theory Reports Testing Pl/sql Cobol Offshore Master Data Management Outlines Edit Plus End Users Part 1 Solution Written Impromptu Power Sap Production Support Query Writing Cognos Specs Relational Databases Stored Procedures Advertising Aggregator Metric Reporting Logic Programming Level Design Apache Spark Maps Big Data Pizza Power Exchange Z/os Project Planning Spec Database Design Servers Manage Multiple Fact Shell Efficient Portals Independent Contractors History Microsoft Sql Server Sas Oracle Valid Data Extraction Libraries Cq Budgets Staff Development Yum Transform Schema Databases Level 1 Outline Sales Mainframe Performance Tuning Sep Ira Embedded Systems Singapore General Ledger Outsourcing Aggregate Security Programming Languages Integration Analyzer Rules It Strategy Visa Source Aluminum Lecturing Assembly Language Scorecard Load Real Time Process Flow Clearcase Software Configuration Management Strategy Supervision Hyperion Data Modeling Microsoft Excel Reporting Tool Calc Scripts Solaris Extract Scheduling Spufi Manufacturing Processes Ms Dos Analysis Auto Constraints Data Integration Etl Sports Operational Systems Operating Systems Applications Business Analysis Jcl Suite Html Repository Knowledge Transfer Essbase Project Sql Ftp Windows Scripting Hyderabad Unix Cleansing Simple Unit Testing Warehousing Star Schema Stat Data Quality Business Objects Powerplay Quality Procedures Hive Platforms Deployed Kanban Cics Solution Architecture Csv Credit Cards Insurance Change Control Embedded Sql Tableau Data Mapping Indexes Utilities Programming Batch Processing Obiee Management General Electric Lan Wan Dealing Data Storage Chain Core Java Transformations Monitors Sdlc Execution Fast Food Languages Business Services Integration Testing Windows 2000 Crystal Visual Basic Tables Training Rpg Qmf Enterprise Software Abc Reporting Informatica Shell Scripting Handling Money Concepts Query Analyzer Star Powercenter Dimension Lake Homes Flat Files Partition Business Intelligence Express.js Xpediter Supports Software Development Life Cycle Data Migration Data Warehousing Business Units Data Models Electronics Visio Software Windows Nt Autosys Financial Services Image Capture Phase Test Cases Manufacturing Hyperion Planning Application Support Legacy Systems Problem Solving Interventions Expense Management Consumer Geography

Paramjit Singh Education Details

Frequently Asked Questions about Paramjit Singh

What company does Paramjit Singh work for?

Paramjit Singh works for Sofi

What is Paramjit Singh's role at the current company?

Paramjit Singh's current role is Senior Staff Data Engineer at SoFi [Big Data, AI/ML].

What is Paramjit Singh's email address?

Paramjit Singh's email address is pa****@****hoo.com

What schools did Paramjit Singh attend?

Paramjit Singh attended Grand Canyon University, Guru Nanak Dev University, Tagore Public School, Ludhiana.

What are some of Paramjit Singh's interests?

Paramjit Singh has interest in Education, Environment, Science And Technology, Human Rights, Health.

What skills is Paramjit Singh known for?

Paramjit Singh has skills like Domain Experience, Ibm, Technical Specs, Location, Community, Perl, Netezza, Cost, Agile Methodologies, Streams, Data Cleaning, Toad For Oracle.

Who are Paramjit Singh's colleagues?

Paramjit Singh's colleagues are Kimberley Jensen, Amanda L., Karthik Janagiraman, Christie Burchard, Cams, Arianna Olsen, Ariel Chen, Cpa, Alissa Field.

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