VEMAN JAGANNATH PATIL
New York, USA Email: ********@*****.*** Phone: +1-716-***-**** LinkedIn
SUMMARY
Salesforce Developer with 5+ years of experience delivering scalable, enterprise-grade solutions across Sales Cloud, Service Cloud, and Experience Cloud. Skilled in building robust Apex frameworks, Lightning Web Components, and advanced Flow automation to streamline business processes and elevate user experience. Adept at integrating Salesforce with external platforms using REST/SOAP APIs, Named Credentials, and secure data exchange patterns. Proficient in Agile methodologies, DevOps- focused release management, and cross-functional collaboration to ensure high-quality, efficient deployments. Recognized for strong problem-solving, technical leadership, and the ability to translate complex requirements into maintainable, future-ready Salesforce implementations.
SKILLS
• Salesforce Clouds: Sales Cloud, Service Cloud, Experience Cloud, Health Cloud, FSC (exposure)
• Core Admin: Standard/Custom Objects, Fields, Record Types, Page Layouts
• Security & Access: Profiles, Permission Sets, Roles, Sharing Rules, Field-Level Security (FLS)
• Automation: Flows (record-triggered, screen, scheduled), Approval Processes, Validation Rules, Duplicate Rules
• Data Operations: Data Loader, Import Wizard, Dataloader.io, Workbench, SOQL/SOSL, Data Migration & Mapping, De- duplication
• Analytics: Reports & Dashboards, Tableau, Power BI, CRM Analytics (Tableau CRM), Einstein GPT (basic)
• Development: Apex (triggers, classes, async Batch/Queueable/Schedulable, test classes), LWC, Visualforce
• Integrations: REST/SOAP APIs, Named Credentials, Salesforce Connect, External Services, MuleSoft (basic), Application Integra- tions
• Dev Tools & Release: VS Code, SFDX CLI, Git, GitHub, Bitbucket, Copado, Gearset, Sandbox Management, Change Sets
• Methods: Agile/Scrum, Jira, Confluence, UML (ERD, sequence/class), Stakeholder Training & UAT, ITIL Best Practices, Root Cause Analysis
• Data Governance: Validation Frameworks, Duplicate Management, Matching Rules
• Enterprise Systems: Oracle NetSuite, SAP Concur, Workday Adaptive, Boomi WORK EXPERIENCE
DXC Technology July 2025 – Present
Salesforce Developer
• Spearheaded solution delivery for the enterprise modernization effort Enterprise Customer Lifecycle Optimization Program, designing end-to-end Salesforce enhancements that improved engagement across Sales Cloud, Service Cloud, and Experience Cloud.
• Engineered high-performance Apex classes, trigger frameworks, and Queueable jobs to automate complex case routing logic, accelerating resolution times and boosting operational efficiency by 22%.
• Built advanced, user-guided screen flows with custom data validation, dynamic routing, and integrated knowledge lookups to streamline customer onboarding procedures for internal support teams.
• Orchestrated secure real-time integrations using REST APIs, Named Credentials, and Salesforce Connect to synchronize client account data with an external financial management platform.
• Enhanced release quality by implementing a structured DevOps workflow through Gearset, enabling automated test coverage checks, version control standardization, and reducing deployment-related issues by 30%. VMware March 2019 – December 2023
Salesforce Administrator
• Delivered core enhancements for the Global Partner Revenue Intelligence Initiative, architecting scalable Salesforce solutions across Sales Cloud and Partner Community to streamline partner engagement and deal lifecycle processes.
• Engineered a modular Apex framework (triggers, handlers, utility classes) to stabilize complex opportunity workflows, improving code maintainability and expanding platform extensibility for future releases.
• Developed Lightning Web Components (LWCs) with dynamic UI rendering, client-side caching, and real-time data updates to enhance partner analytics dashboards and usability.
• Automated multi-stage approval processes using record-triggered flows, custom metadata, and advanced branching logic to standardize compliance reviews across global business units.
• Implemented secure integrations using OAuth 2.0, Named Credentials, and platform events to synchronize incentive claims with VMware’s internal financial systems.
• Optimized data quality by creating sophisticated Matching & Duplicate Rules, field-level governance standards, and SOQL tuning strategies that elevated system accuracy by 40%.
• Enhanced reporting capabilities through custom summary formulas, row-level security modelling, and cross-object reporting to improve executive visibility into partner revenue trends.
• Strengthened release management by orchestrating version-controlled deployments via Bitbucket and SFDX, reducing deployment rework and defects by 25%.
PROJECTS
Predictive Customer Churn Modelling
• Conducted exploratory data analysis and feature engineering using Python, Pandas, NumPy, and Matplotlib to identify behavioural indicators correlated with churn likelihood.
• Trained and optimized machine learning models—including Logistic Regression, Random Forest, and Gradient Boosting using Scikit-learn to evaluate performance across accuracy, recall, and AUC metrics.
• Delivered a data-driven insights report summarizing churn drivers and recommended retention strategies, supported by visual dashboards created in Tableau.
Automated Student Performance Tracking System
• Designed a lightweight academic performance tracker using SQL, ERD modelling, and relational schema development, enabling structured storage of attendance, grades, and participation records.
• Built automation scripts with Python and Scheduled Jobs to ingest CSV datasets, validate entries, and populate the database with clean, standardized data.
• Developed interactive analytics views in Power BI, allowing professors to quickly identify low-performing students, trends, and actionable academic interventions.
EDUCATION
• Master of Science in Data Science Jan 2024 – June 2025 University at Buffalo GPA: 3.42
CERTIFICATIONS
• Salesforce Agentforce
• Salesforce Sales Operations Professional