Sravan Kumar Kunadi

Sravan Kumar Kunadi has spent 14 years building the kind of data infrastructure that quietly determines whether enterprise decisions are grounded in truth or driven by guesswork. A specialist in enterprise-scale data engineering with an emphasis on customer and revenue data platforms, Kunadi’s career has centered on designing, modernizing, and scaling data ecosystems that support sales, marketing, finance, product, and customer operations. Across major organizations, his work has repeatedly moved beyond maintaining existing pipelines and dashboards. Instead, he has led initiatives that required architectural ownership, cross-functional alignment, and the creation of new data capabilities that materially improved how organizations understand customers, forecast revenue, and operationalize go-to-market strategy.

At Procore Technologies, Kunadi’s work has focused on building the data foundation for growth strategy. As a Staff Data Engineer on the Go-To-Market Transformation (GTMT) initiative, he architected data models and governance needed to support a redesigned GTM motion. He built scalable funnel data models, designed a Master Data Management (MDM) framework, and enabled advanced funnel analytics integrated with Salesforce. The innovation was the creation of an enterprise-wide funnel framework that did not previously exist—one that unified Salesforce activity with third-party enrichment and MDM to produce a coherent customer-journey model. Kunadi’s contribution was not limited to integrating datasets. He engineered cross-system flows that created a single source of truth for funnel performance, built detection logic to identify stage bottlenecks, and delivered analytics that equipped GTM teams with visibility that was previously unavailable—improving conversion insight, forecasting quality, and strategic engagement decisions.

In a second Procore initiative, he built models and relationship analytics around the ENR 400 contractor ecosystem—mapping major contractors and analyzing influence patterns and cross-sell potential across the Procore platform. The project introduced a new revenue lens by applying advanced modeling to an external industry dataset. Kunadi engineered the network models, derived decision hierarchies and adoption drivers, and created segmentable cohorts that supported targeted GTM motions. These outputs helped shape expansion strategy, informed messaging, and supported broader market-sizing ambitions by turning a static industry list into an actionable, relationship-aware operating model.

Before Procore, Kunadi delivered foundational customer and revenue data capabilities at Asana, where he worked at the intersection of marketing systems, customer data platforms, and revenue reporting. As a Marketing Integrations Engineer, he modernized the GTM and lead-generation ecosystem through near real-time integrations, improved lead scoring, and a Segment-based Customer Data Platform (CDP) implementation. In place of fragmented, asynchronous systems, he helped establish signal-based lead activation—integrations that created qualified leads in Salesforce and contributed to reported new revenue growth improvements. He also strengthened XQL/PQL scoring and enrichment workflows, improving marketing-sales alignment through better data fidelity and faster operational feedback.

Kunadi’s Asana work extended into financial and revenue intelligence—centralizing GTM, product, and finance data into a unified framework supporting billing workflows, revenue reporting, and cross-functional analytics. The innovation was architectural: consolidating previously disconnected financial and GTM systems into an integrated environment that reduced latency and standardized revenue metrics. His contributions included developing CPQ, finance, and marketing data models, improving billing accuracy, reducing ETL latency by 40%, and delivering integrated metric frameworks that improved forecasting and operational visibility.

Earlier, at Autodesk, Kunadi worked on multiple initiatives that reflect deep experience in product usage analytics, customer experience measurement, and marketing automation platforms. As a Principal Data Engineer on Autodesk Data Platform (ADP) initiatives, he enhanced product usage analytics and customer reporting by combining datasets that typically remain siloed: usage logs, support data, and social sentiment. He built ingestion pipelines using Splunk and Spark, designed enterprise data profiles, and created a support data mart that enabled consistent product metrics across teams. He also prototyped sentiment analysis capabilities that introduced a new dimension of customer insight—linking operational signals to customer perception and experience outcomes.

On Autodesk’s Marketing Automation Platform (MAP), Kunadi built integrated workflows connecting Marketo, Salesforce, and a unified customer profile to enable personalized, automated marketing operations. This platform operationalized real-time scoring, segmentation, and data-driven personalization—capabilities that require reliable identity resolution, consistent signal capture, and scalable activation pathways. Kunadi delivered segmentation frameworks, integrated data science scoring models, automated Marketo–Salesforce pipelines, and created multi-source dashboards spanning product, support, and services, improving lifecycle management and marketing and sales efficiency.

His earlier work through Logic Planet/Autodesk demonstrates a further dimension: financial operations data engineering, where accuracy, auditability, and system-of-record integrity are paramount. In partner incentives initiatives (Earnbacks/PIPS and SAP BEI), he helped align partner incentive systems with fiscal changes and automated rebate percentage computations within SAP SD—shifting incentive calculation from external BI processes into core transactional systems to improve reliability and transparency. In commissions and incentives modernization, he integrated Salesforce with SAP HR/Workday and downstream financial systems, designing ETL workflows and automated processing that improved commission reliability and reduced operational failures—turning a historically manual process into a more deterministic, system-driven workflow.

Across these programs, Kunadi’s professional signature is consistent: building “trustable” data platforms that unify fragmented systems into governed sources of truth, reduce latency between signal and action, and enable organizations to run go-to-market and revenue operations with greater precision. His work demonstrates both depth—customer and revenue data platforms, MDM, CDP enablement, and financial data engineering—and breadth across industries and functions. In enterprise environments where the cost of bad data is compounding and systemic, Kunadi’s work has focused on building foundations that withstand scale and change.