PROFESSIONAL SUMMARY

As a senior engineering leader with more than 15 years of hands-on experience, I specialize in building cloud-native and data-driven platforms that power CRM, analytics, and AI. My strengths include shaping technical strategy, guiding diverse teams, and delivering comprehensive enterprise solutions worldwide.

At Adobe, I currently manage multidisciplinary engineering teams, overseeing system architecture, project delivery, and operational excellence for Customer Success and Sales platforms. My expertise spans distributed systems, advanced data pipelines, platform integrations, and AI-powered analytics, with an emphasis on reliability, security, and enabling developer efficiency.

Throughout my career, I have mentored senior engineers and fostered alignment across Product, Analytics, Security, and Business groups, consistently translating business requirements into scalable technical solutions. My background includes designing, developing, and deploying robust applications across different industries, always with a focus on system reliability, performance optimization, and effective leadership across cross-functional teams. I am proficient in modern programming languages, cloud technologies, agile methodologies, and data engineering practices. Additionally, I bring significant experience in creating Databricks notebooks and building sophisticated data pipelines to support analytics and business intelligence.

In my position as Senior Computer Scientist, I've architected large-scale CRM systems and possess advanced skills in Salesforce (Apex, LWC, Aura), Microsoft Dynamics 365, and Gainsight NXT. I excel at integrating Customer Success platforms with CRM tools to deliver actionable insights and drive operational improvements. Moreover, I have a strong track record of developing collaborative Databricks solutions and managing ETL/ELT pipelines within cloud environments to ensure data platforms are dependable, scalable, and high-performing.

Senior Computer Scientist | Adobe Inc., San Jose, CA, United States | August, 2018 – Present

· Lead a cross-functional engineering team, overseeing delivery and execution for CRM and Customer Success platforms.

· Develop and implement technical roadmaps aligned with business goals.

· Own architecture for Salesforce, Dynamics 365, Gainsight NXT, and Databricks platforms supporting customer interactions.

· Collaborate with Product Management and other stakeholders to build scalable, secure solutions.

· Promote engineering best practices including CI/CD, automated testing, code reviews, and performance optimization.

· Mentor engineers to support growth and improve design quality.

· Tech Team Lead: Currently managing a team of two engineers, two QA analysts, and one Business Systems Analyst (BSA) as the technical lead for the current project, ensuring effective collaboration and timely delivery of project milestones.

· CRM Engineering: Lead the technical design and implementation of custom solutions within Salesforce (LWC, Apex) and Microsoft Dynamics 365, ensuring high performance and adherence to governor limits.

· Data Pipeline Development: Design and optimize scalable data pipelines using Databricks notebooks. Write complex transformation logic in Python (PySpark) and Spark SQL to move data from CRM sources to Amazon S3 bucket for data ingestion.

· System Integration: Architect bi-directional integrations between Gainsight NXT, Salesforce, and external databases using REST/SOAP APIs and middleware solutions.

· Automation & Workflow: Develop end-to-end automation for Customer Success and Sales teams, utilizing Gainsight Journey Orchestrator and Dynamics Power Automate.

· Code Quality & DevOps: Drive engineering excellence through rigorous code reviews, unit testing, and the management of CI/CD pipelines via Azure DevOps or SFDX.

· Technical Leadership: Partner with cross-functional stakeholders to translate business strategy into technical roadmaps, providing mentorship to junior developers.

· Lead the architectural design and development of complex Salesforce customizations using Apex and LWC, reducing technical debt by 30% through modular code refactoring.

· Engineered a high-scale integration between Gainsight NXT and Salesforce, enabling real-time synchronization of customer health data and automated CTAs for Success Managers.

· Built seamless integration between Gainsight NXT, Salesforce, and Dynamics 365 by leveraging Azure Functions and Azure cloud architecture, enabling real-time data synchronization and robust automation across platforms.

· Collaborate with product owners to translate business requirements into technical specifications for Gainsight dashboarding and Data Designer workflows.

Technical Skills

Databricks Expertise: Developing collaborative notebooks, leveraging Unity Catalog, orchestrating workflows, tuning performance, and integrating with Amazon S3 buckets for scalable data storage and ingestion.

CRM Platforms: Salesforce (Sales/Service/Health Cloud), Microsoft Dynamics 365, Gainsight NXT.

Salesforce Development: Apex (Triggers, Classes, Batch), Lightning Web Components (LWC), Aura, Flow Builder, SOQL/SOSL, Visualforce.

Dynamics Development: C# .NET, Power Automate, Dataverse, Plugin Development, Client-side Scripting.

Gainsight NXT CS Expertise: Designing and deploying Customer Success solutions, creating automated workflows, configuring dashboards, and integrating Gainsight NXT with CRM platforms for actionable insights and enhanced customer engagement.

Languages & Web: JavaScript (ES6+), Java, HTML5, CSS3, REST/SOAP APIs.

Tools & DevOps: Git, SFDX, Azure DevOps, VS Code, CI/CD Pipelines, Jira.

Data Engineering: Databricks (Lakehouse), Apache Spark (PySpark), Delta Lake, ETL/ELT Pipelines.

Languages: Python (Pandas, NumPy, OpenCV, TensorFlow), SQL (Spark SQL), Apex, JavaScript, C#.

Machine Learning: Model training and deployment on Hugging Face, including leveraging pre-trained transformers, fine-tuning models, and integrating deployed endpoints for scalable inference in production environments. Additionally, skilled in deploying machine learning models using Azure Machine Learning (AzureML), orchestrating end-to-end workflows from model development to production. Experienced in setting up CI/CD pipelines with GitHub and AzureML to automate model training, validation, and deployment, utilizing collaborative notebooks for experimentation and version control. This approach ensures reproducible results, streamlined updates, and robust governance of machine learning assets within enterprise environments.

Curtis Valentine

Senior Product Manager at Adobe

January 7, 2025, Curtis worked with Amit on the same team

Amit is one of the best engineers I have had the pleasure of working with. I would recommend him for any position and any time. I worked with Amit as a Product Manager. Together, we successfully completed the most challenging project of my career. Amit was incredibly helpful providing design advice, delivering an immense amount of work, and met every tight timeline. Amit’s technical knowledge is impressive. He would come up with complex solutions to challenges that seemed impossible on a regular basis. We worked with multiple technology sets, integrated systems, and dependent engineering teams. Both up and downstream. However, his ability to learn is somehow more impressive. Many of the systems and technology were new to Amit. Regardless, a couple days after the ask, he seemed like a seasoned veteran of the technology. He even taught me about features I wasn’t aware of in systems I am an expert in, when it was his first time working on them. Amit truly understands the purpose behind the requests and how the technology can provide the value required. I want to close out the recommendation by speaking about Amit’s soft skills. He is detail orientated, stays calm under pressure, has strong communication, and is a leader. Amit is great to work with on a personal level. He believes it’s us (our team) against the problem, instead of us against each other. Amit brings a level of camaraderie to the team and leads by example.