Vallabh Kulkarni

• Developed enterprise automation solutions, backend integrations, and scalable workflow systems using Python, Workato, Salesforce, AWS, SQL, and REST APIs.
• Built and enhanced 5+ enterprise automation workflows, maintaining 25+ production recipes while improving system reliability, scalability, and operational efficiency.
• Designed, developed, and maintained 5 SDK connectors (2 new, 3 enhanced) to standardize enterprise integrations and simplify reusable API interactions across client solutions.
• Delivered 6 major production releases across enterprise automation and integration platforms, managing implementation, testing, deployment, production support, and issue resolution.
• Partnered with cross-functional teams and enterprise clients, including Fastly and Dandy, to deliver production-ready integration solutions across CRM, ERP, and cloud platforms.

Workato, Salesforce, Sendblue, Gemini

Owned the end-to-end design, development, testing, deployment, and production rollout of an automated SMS training confirmation platform for Dandy, enabling intelligent outreach, reminders, rescheduling, and AI-powered response processing.

• Designed and developed a custom SendBlue SDK Connector with 10+ reusable REST API actions, webhook triggers, and resilient retry mechanisms for rate-limited (429) and transient failures, enabling scalable SMS automation.
• Engineered a timezone-aware scheduling engine that guaranteed zero missed business-hour message deliveries by buffering and orchestrating outbound communication according to each recipient's local business hours.
• Integrated the Gemini API to automatically classify inbound SMS responses into Confirmed, Reschedule, and Unconfirmed workflows, eliminating manual response triage and improving operational efficiency.
• Executed a zero-data-loss migration from the legacy SendBlue workflow into Workato Version 2, designing deployment safeguards, rollback planning, validation strategies, and post-production monitoring.

Workato, Salesforce, UKG, BigQuery, AWS

Developed a scalable enterprise compensation data pipeline integrating Salesforce, UKG, Looker, Hex, Amazon S3, and BigQuery to support secure analytics and historical reporting.

• Designed secure cross-account AWS infrastructure using IAM roles, inline policies, and Amazon S3 for enterprise-grade data ingestion.
• Reduced UKG pipeline execution time by 87% through SQL query optimization and self-join restructuring.
• Eliminated 90-minute workflow timeouts by implementing asynchronous child functions across five Salesforce objects.
• Built BigQuery-powered historical snapshot workflows supporting dynamic reporting across quarterly compensation periods.