Adobe analytics

Laxman Sai

Email ID: *************@*****.***

Phone: +469-***-****

Professional Experience:

Adobe Experience Cloud professional with 6+ years of IT experience spanning system engineering, Adobe Analytics, and Adobe Experience Platform (AEP) implementations.

Specialized in designing and implementing customer data solutions, including XDM schemas, datasets, and scalable ingestion pipelines using AEP APIs and Streaming Services.

Built end-to-end personalized marketing solutions by integrating Adobe Target, Adobe Journey Optimizer (AJO), Adobe Campaign, and Customer Journey Analytics (CJA) with AEP.

Automated real-time and batch data ingestion from Salesforce, Snowflake, and AWS, enabling dynamic profile enrichment and advanced segmentation.

Skilled in web optimization and digital analytics with strong problem-solving and technical expertise in qualitative analysis, ad-hoc reporting, marketing decision-making, and tag implementation.

Hands-on experience in Digital Analytics and Marketing Optimization using Adobe Analytics (Omniture/Site Catalyst), Google Analytics, Workspace, Report Management, and Report Builder.

Partnered with development, UX, marketing, and product teams to drive end-to-end tracking implementation, reporting, and feature development.

Conducted deep-dive pathing and conversion analysis to address key business requirements.

Delivered comprehensive web analytics services, including reporting, business strategy/optimization, and implementation.

Generated actionable insights and analytical solutions to enhance multi-channel and omnichannel customer experiences.

Maintained ownership of recurring dashboards (daily, monthly, quarterly) in Adobe Analytics to track performance trends.

Applied expertise in digital media concepts to optimize website tagging, create dashboards, and drive customer segmentation, providing valuable insights into user behavior and marketing effectiveness.

Led troubleshooting and performance optimization of data pipelines while managing consent frameworks to ensure GDPR and CCPA compliance.

Developed automation frameworks in JavaScript and Python to streamline audience activation and data transformation within AEP.

Collaborated with cross-functional teams to enhance data quality, improve segmentation accuracy, and align analytics with business objectives.

Passionate about designing scalable MarTech solutions focused on customer experience, platform reliability, and continuous improvement.

Technical Skills:

Platforms & Tools: Adobe Experience Platform (AEP), Adobe Target, Adobe Journey Optimizer (AJO), Adobe Campaign, Customer Journey Analytics (CJA), Adobe Experience Manager (AEM) Sites

Programming & Scripting: Java, JavaScript, TypeScript, Python, SQL, Shell Scripting, Bash

Tag Management: Adobe Launch (Adobe Dynamic Tag Manager), Tealium

Integrations & APIs: AEP REST & Streaming APIs, Web SDK, RESTful APIs, Salesforce APIs

Data Modeling & Pipelines: XDM, Adobe Data Prep, Batch & Streaming Data, ETL/ELT Processes, Dataflows

Data Visualization: Tableau, Power BI

Testing & Monitoring: Postman, REST Assured, JMeter

Project Management & Collaboration: Jira, Confluence, Slack, Agile/Scrum, ServiceNow

Certifications & Credentials:

Adobe Certified Professional Customer Journey Analytics

Adobe Certified Expert Journey Optimizer Developer

Adobe Certified Expert Experience Platform Developer

Professional Experience:

Client: Charter Communication, Remote USA

Role: AEP/AJO Consultant

Duration: Jun 2024 to Till Date

Responsibilities:

Designed and deployed real-time customer journeys in Adobe Journey Optimizer (AJO) to deliver personalized, event-driven experiences across multiple channels.

Configured triggers, decision splits, and conditional flows in AJO to launch campaigns tailored to customer actions and profile attributes.

Integrated AJO with Adobe Target, Adobe Analytics, and external platforms via REST and Streaming APIs to enable seamless omnichannel orchestration.

Managed end-to-end messaging across email, push, and in-app channels, ensuring timely and relevant customer engagement.

Automated campaign triggers and workflows using Python and API integrations, improving efficiency and reducing turnaround time.

Partnered with marketing and product teams to convert business requirements into scalable journey designs and segmented audiences.

Utilized AEP Identity Service and Segmentation to enable dynamic audience targeting and enhance personalization accuracy within AJO.

Monitored journey execution and campaign performance, analyzing drop-offs and conversions to recommend optimization strategies.

Integrated securely with Salesforce, Snowflake, and third-party APIs to enrich customer profiles for journey orchestration.

Automated AJO deployment processes using Jenkins and GitHub Actions, reducing manual interventions and ensuring release consistency.

Collaborated with Adobe engineers and internal stakeholders to troubleshoot issues, optimize journeys, and adopt new AJO capabilities.

Conducted workshops and provided technical guidance to marketing, CRM, and analytics teams on effectively leveraging AJO features.

Implemented fallback logic and error handling in journeys to maintain consistent user experiences during system failures.

Ensured compliance with GDPR, CCPA, and internal data protection policies across all journeys.

Developed reusable journey templates, segmentation rules, and API scripts to accelerate campaign launches and reduce development time.

Environment: AEP, Adobe Journey Optimizer (AJO), XDM, Segmentation Service, Identity Service, Streaming APIs, Adobe Target, Adobe Analytics, Salesforce, Snowflake, REST APIs, Jenkins, GitHub Actions, Python, Postman, Splunk.

Client: T Mobile, Dallas Texas

Role: Web Analytics Consultant

Duration: Jun 2023 to May 2024

Responsibilities:

Translated business requirements into technical specifications aligned with KPIs, ensuring accurate tracking and reporting.

Designed and validated analytics tags using Adobe Experience Cloud Debugger, Omnibug, Charles Proxy, and developer tools, improving implementation accuracy.

Leveraged Adobe Analytics (Reports, Workspace, Data Warehouse) to track user behavior, build funnels, and deliver insights that optimized conversion and engagement.

Conducted multi-channel analysis (web, mobile, email, transactional data) to create a customer-centric view that supported acquisition and retention strategies.

Analyzed session replays in Glassbox to identify UX gaps, translating qualitative data into actionable recommendations that improved site performance.

Partnered with UX, marketing, and development teams to implement tracking, reporting, and feature enhancements in Agile delivery cycles.

Developed dashboards, alerts, and performance reports to monitor KPIs, identify optimization opportunities, and support business decisions.

Coordinated with QA and development teams during releases, resolving discrepancies and ensuring deliverables met client standards.

Environment: AEM, Adobe Marketing Cloud, Adobe Analytics Workspace, Glassbox Analytics, Charles Proxy, Omnibug, Adobe Report Builder, Firebug, JavaScript.

Client: Tesla, Austin Texas

Role: Adobe Analytics Consultant

Duration: Aug 2022 to May 2023

Responsibilities:

Performed multi-channel analysis by integrating web, mobile, email, tablet, marketing, and transactional data to drive customer acquisition and retention strategies.

Delivered actionable insights and recommendations to business and product owners, enabling data-driven decisions and improving engagement.

Developed visualizations and automated reports using Adobe Report Builder, Workspace, and Data Warehouse to monitor KPIs and support business objectives.

Leveraged Adobe Analytics Suite to track user behavior, optimize conversion funnels, perform segmentation, and analyze pathing and heatmaps.

Collaborated with business stakeholders and developers to validate and integrate analytics tags accurately within applications.

Partnered with UX, marketing, and implementation teams to implement tracking, reporting, and feature enhancements in Agile workflows.

Recommended best practices, operational processes, and standards to ensure the success and accuracy of analytics programs.

Environment: Adobe Marketing Cloud – Adobe Analytics (Omniture/SiteCatalyst), Adobe Report Builder, Analytics Workspace, Dynamic Tag Manager (DTM), Firebug, Quip.

Client: Global Logic

Role: Adobe Analytics Consultant

Duration: May 2019 to Jul 2021

Responsibilities:

Delivered comprehensive business performance reports across stores and web channels to support operational and marketing decisions.

Created tagging documentation for basic and advanced tracking requirements, including conversion tags for campaign management.

Translated business requirements into actionable KPIs and analyzed trends, patterns, and user journeys using Google Analytics.

Configured Google Analytics features, including Profiles, Filters, Ecommerce, Site Search, Goal Funnels, Custom Dashboards, Advanced Segments, Custom Reports, and Content Experiments.

Monitored visitor flows and user interactions across websites to optimize engagement and conversions.

Ensured accurate data attribution in compliance with company policies and industry standards.

Debugged applications and manipulated DOM nodes to support tracking and data collection requirements.

Collaborated with customers and internal teams to modify code and meet specific business needs.

Executed test cases, resolved defects, and ensured high-quality deliverables throughout development cycles.

Supported web application installations, upgrades, and deployments, ensuring smooth and stable operations.

Environment: HTML, JavaScript, Java, Shell, GitHub, JIRA, Adobe Target, Adobe Analytics, Postman.

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