Salesforce Developer • Architect • Consultant • SME
Results-driven Customer Domain CRM SME, Salesforce Developer, and Data Architect with 8 years of experience in designing, developing, and delivering innovative solutions to optimize customer data management and CRM systems. Expertise in Salesforce technologies, including LWC, Apex, Aura, triggers, flows, and process builders, with a proven track record of architecting seamless data flows and integrations across complex systems.
Skilled in merging and de-merging Salesforce orgs, data migration, and system integrations, with a strong focus on ensuring data integrity, privacy, and compliance. Adept at collaborating with cross-functional teams, external vendors, and business stakeholders to deliver customer-centric solutions that drive business growth.
Proficient in Salesforce best practices, Java, and various programming languages, with a demonstrated ability to troubleshoot system issues, enhance performance, and implement scalable solutions. Known for effectively managing independent projects while contributing as a collaborative team player, with a passion for knowledge sharing and continuous improvement.
Bachelor of Information Technology
28
lokeshramu16@gmail.com
+61 410 076 060
Adelaide, Australia
Expert in merging and de-merging Salesforce orgs with seamless data migration, ensuring data integrity and business continuity across complex enterprise environments.
Building modern, performant UI experiences with LWC. Creating reusable components that enhance user productivity and system efficiency.
Architecting seamless integrations between Salesforce and external systems, including Braze, loyalty platforms, and custom solutions with focus on data flow optimization.
Certified Data Architect with proven expertise in designing scalable data models, implementing MDM solutions, and ensuring data privacy and compliance across platforms.
Leveraging Salesforce Einstein to deliver intelligent automation, predictive insights, and enhanced customer experiences for retail and enterprise clients.
AI-Powered Agents
Industry Solutions
Lightning Web Components
Custom Business Logic
Legacy Framework
Process Automation
ETL & Data Quality
Solution Design
API & Middleware
Platform Management
Data Protection & Compliance
Online Visibility
Full Stack
Object-Oriented Programming
Merged two Service Cloud orgs for Webcentral Group and Netregistry, enabling unified customer service operations.
De-merged two Service Cloud orgs for Country Road Group and David Jones, ensuring independent retail operations.
Customized and built new UI features using LWC for the Customer Service Team, enhancing usability.
Implemented SLA tracking in Service Cloud for improved service efficiency.
Implemented Einstein for Country Road Group to enhance retail customer insights and automation.
Built a Loyalty solution for Country Road Group, integrated with Service Cloud for seamless customer experiences.
Integrated Braze marketing solution with Service Cloud for Country Road Group, improving customer engagement.
Developed an AppExchange solution to convert case emails to PDFs automatically, optimizing storage across Salesforce clouds.
Created an AppExchange solution for bulk customer case emails in Service Cloud, primarily for Webcentral Group.
Modernized user access management on Service Cloud using LWC and VF pages at ISSQUARED Inc.
Implemented encryption for customer data in integrations and sandboxes for enhanced security.
In progress: Implementing MDM solutions for customer data in Service Cloud for Country Road Group.
Core technologies and integrations I work with
Click on components to see real implementation details from my projects
Real-world challenges and solutions
Webcentral Group needed to merge two separate Service Cloud orgs (Webcentral and Netregistry) into a single unified instance while maintaining business continuity and ensuring zero downtime for customer service operations across Australia's leading web hosting providers.
Architected comprehensive org merger strategy with phased data migration using custom Apex batch jobs, Data Loader, and Python scripts. Developed custom LWC components for user access management, implemented SLA tracking, and rebuilt integrations for unified operations. Created duplicate detection and data cleansing workflows.
Country Road Group needed to de-merge their Service Cloud org from David Jones to establish independent retail operations. Additionally, required implementation of Einstein AI, Loyalty platform integration with Braze marketing automation, and comprehensive data privacy framework for GDPR compliance.
Led complete org de-merger with selective data migration of 5M+ records. Implemented Einstein AI for predictive insights, built custom Loyalty platform integrated with Service Cloud, established real-time Braze integration for marketing campaigns, and deployed Shield Platform Encryption for customer data protection. Developed custom LWC components for enhanced customer service experience.
Organizations faced duplicate customer records, storage limitations from case email attachments, and inefficient bulk communication processes in Service Cloud. Need for scalable MDM solution and storage optimization across multiple Salesforce clouds.
Developed custom Master Data Management solution using fuzzy logic matching for automated duplicate detection and merge. Published two AppExchange solutions: "Convert Case Emails to PDF" for automatic storage optimization, and "Send Emails on Multiple Cases" for bulk customer communication. Created GitHub solutions including Calendar Planner LWC, Record Ownership Analyzer, and Salesforce DevOps-JIRA integration.
Problem-solving through code: Real challenges, innovative solutions, measurable results
Country Road Group needed to identify and merge 100K+ duplicate customer records across multiple data sources with inconsistent naming conventions, typos, and variations in contact information. Standard exact-match deduplication was only catching 30% of duplicates.
Built a custom fuzzy matching engine using Levenshtein distance algorithm to identify similar records with configurable similarity thresholds. The solution handles dependent records automatically and provides a confidence score for each match.
public static Integer calculateLevenshteinDistance(String str1, String str2) {
Integer len1 = str1.length();
Integer len2 = str2.length();
List<List<Integer>> matrix = new List<List<Integer>>();
for (Integer i = 0; i <= len1; i++) {
matrix.add(new List<Integer>());
for (Integer j = 0; j <= len2; j++) {
if (i == 0) matrix[i].add(j);
else if (j == 0) matrix[i].add(i);
else {
Integer cost = str1.substring(i-1, i) == str2.substring(j-1, j) ? 0 : 1;
matrix[i].add(Math.min(Math.min(
matrix[i-1][j] + 1,
matrix[i][j-1] + 1),
matrix[i-1][j-1] + cost
));
}
}
}
return matrix[len1][len2];
}
Development team needed real-time synchronization between Salesforce DevOps Center and JIRA without expensive third-party tools. Manual updates were causing delays and miscommunication between teams.
Created a native Salesforce integration using Platform Events, Apex triggers, and Flow to automatically post deployment status updates to corresponding JIRA tickets. Zero external dependencies.
public class JiraIntegrationService {
public static void postCommentToJira(String jiraTicket, String comment) {
String endpoint = 'callout:Jira_API/rest/api/3/issue/' + jiraTicket + '/comment';
Map<String, Object> requestBody = new Map<String, Object>{
'body' => new Map<String, Object>{
'type' => 'doc',
'version' => 1,
'content' => new List<Object>{
new Map<String, Object>{
'type' => 'paragraph',
'content' => new List<Object>{
new Map<String, Object>{
'type' => 'text',
'text' => comment
}
}
}
}
}
};
HttpRequest req = new HttpRequest();
req.setEndpoint(endpoint);
req.setMethod('POST');
req.setHeader('Content-Type', 'application/json');
req.setBody(JSON.serialize(requestBody));
Http http = new Http();
HttpResponse res = http.send(req);
if (res.getStatusCode() != 201) {
throw new JiraIntegrationException('Failed: ' + res.getBody());
}
}
}
Sales managers couldn't easily visualize record distribution across team members during territory restructuring. Reports were static and didn't provide actionable insights into workload balance.
Built an interactive LWC that dynamically analyzes any Salesforce object and visualizes ownership distribution with charts, percentages, and drill-down capabilities using Chart.js integration.
import { LightningElement, track, wire } from 'lwc';
import getOwnershipData from '@salesforce/apex/OwnershipController.getOwnershipData';
import { loadScript } from 'lightning/platformResourceLoader';
import chartjs from '@salesforce/resourceUrl/chartjs';
export default class RecordOwnershipAnalyzer extends LightningElement {
@track chartData;
chart;
@wire(getOwnershipData, { objectName: '$selectedObject' })
wiredData({ data, error }) {
if (data) {
const labels = data.map(item => item.ownerName);
const counts = data.map(item => item.recordCount);
this.renderChart(labels, counts);
}
}
renderChart(labels, data) {
const ctx = this.template.querySelector('canvas').getContext('2d');
this.chart = new Chart(ctx, {
type: 'doughnut',
data: {
labels: labels,
datasets: [{
data: data,
backgroundColor: [
'#3186FF', '#00B95C', '#FBBC04',
'#FC413D', '#749BFF'
]
}]
},
options: {
responsive: true,
maintainAspectRatio: false
}
});
}
}
Service agents needed a visual way to manage appointment slots and view daily schedules without navigating to external calendar systems. Standard Salesforce calendar views lacked time-slot granularity.
Developed a reusable LWC calendar component with drag-and-drop functionality, customizable time slots, and real-time availability checking. Fully configurable for any scheduling use case.
export default class CalendarPlanner extends LightningElement {
@track selectedDate = new Date();
@track timeSlots = [];
@api startHour = 8;
@api endHour = 18;
@api slotDuration = 30;
connectedCallback() {
this.generateTimeSlots();
}
generateTimeSlots() {
const slots = [];
for (let hour = this.startHour; hour < this.endHour; hour++) {
for (let min = 0; min < 60; min += this.slotDuration) {
const startTime = `${hour.toString().padStart(2, '0')}:${min.toString().padStart(2, '0')}`;
const endMin = min + this.slotDuration;
const endHour = endMin >= 60 ? hour + 1 : hour;
const endTime = `${endHour.toString().padStart(2, '0')}:${(endMin % 60).toString().padStart(2, '0')}`;
slots.push({
id: `${hour}-${min}`,
startTime: startTime,
endTime: endTime,
available: true,
booked: false
});
}
}
this.timeSlots = slots;
}
handleSlotClick(event) {
const slotId = event.currentTarget.dataset.id;
this.dispatchEvent(new CustomEvent('slotselected', {
detail: { slotId: slotId }
}));
}
}
Marketing team identified thousands of duplicate contacts based on email addresses, causing campaign targeting issues and inflated contact counts. Manual deduplication was taking weeks.
Created an LWC-based tool that identifies duplicates by email with preview, comparison, and bulk merge capabilities. Includes conflict resolution and rollback functionality for data safety.
public class DuplicateRecordManager {
public static List<DuplicateGroup> findDuplicates(String objectName, String emailField) {
String query = 'SELECT ' + emailField + ', COUNT(Id) dupCount ' +
'FROM ' + objectName + ' ' +
'WHERE ' + emailField + ' != null ' +
'GROUP BY ' + emailField + ' ' +
'HAVING COUNT(Id) > 1';
List<AggregateResult> results = Database.query(query);
List<DuplicateGroup> duplicateGroups = new List<DuplicateGroup>();
for (AggregateResult ar : results) {
String email = (String) ar.get(emailField);
Integer count = (Integer) ar.get('dupCount');
duplicateGroups.add(new DuplicateGroup(email, count));
}
return duplicateGroups;
}
public static void mergeDuplicates(Id masterId, List<Id> duplicateIds) {
Database.MergeResult[] results = Database.merge(masterId, duplicateIds, false);
for (Database.MergeResult result : results) {
if (!result.isSuccess()) {
for (Database.Error error : result.getErrors()) {
System.debug('Merge failed: ' + error.getMessage());
}
}
}
}
}
Transforms case emails into PDFs automatically, enhancing storage efficiency across Salesforce ecosystems.
Facilitates bulk email dispatch for Service Cloud cases, boosting communication productivity.
Leading Salesforce development initiatives, implementing Einstein AI, and architecting data solutions for financial services platform.
Spearheaded org de-merger, loyalty platform implementation, Braze integration, and data privacy solutions for leading retail group.
Led successful merger of Service Cloud and Sales Cloud orgs, developed custom LWC solutions, and optimized business processes.
Provided technical support and development assistance for Sales Cloud, Service Cloud, and Community Cloud implementations.
Developed identity management solutions integrating Salesforce with IBM Security Identity Manager and various backend systems.
Let's discuss how I can help transform your Salesforce implementation with custom solutions, integrations, and architectural excellence.
Check out my GitHub repositories for open-source Salesforce solutions, LWC components, and innovative tools for the Salesforce ecosystem.
Download my comprehensive resume to learn more about my experience, projects, and expertise in Salesforce development and architecture.
I'm always interested in hearing about new projects and opportunities. Let's create something amazing together!
lokeshramu16@gmail.com
+61 410 076 060
Adelaide, South Australia