Sundaresan Udayasankar — Director of Engineering

Strategic technology leader with 15+ years of experience building mission-critical platforms from incubation to global production. Proven track record of managing high-performance teams (30+ engineers/managers) to deliver distributed architectures handling 10B+ daily events and 1M+ QPS. Expert in navigating the "Build vs. Buy" landscape, optimizing cloud TCO, and aligning complex technical roadmaps with core business OKRs. Led the architecture of a multi-tenant "Source of Truth" serving 1M QPS, enabling self-serve onboarding for thousands of metrics monthly for analysts and data scientists. Led the team in evaluation (Druid vs. Pinot vs. Clickhouse) and deployment of an Event Store scaling to 10B+ real-time events/day, powering both global BI and proactive anomaly detection for incident management. Managed the migration to modern table formats (Apache Iceberg, Delta Lake), optimizing data layouts between One Big Table (OBT) and Star Schemas to balance query latency with storage modularity. Led the team in building an Aluxio-based caching layer for Trino and Spark, achieving a sustained 85% cache hit ratio. This delivered a step-function improvement in latency and significantly slashed cloud infrastructure spend. Instrumental in benchmarking Open Source vs. Managed solutions, ensuring cost-efficient scaling across SaaS and on-premise offerings. Pioneered the use of MCP (Model Context Protocol) and RAG-based rules within Cursor, integrating architectural standards directly into the IDE to accelerate development velocity. Drove analytics adoption via AI-integrated Jupyter Notebooks, democratizing complex query generation and increasing total analyst output. Managing a department of 30+ high-performance engineers and managers Expert in multi-cycle performance management, hiring, and culture building. Partnered closely with Finance and HR to align technical headcount with business growth. Proven ability to influence C-suite and senior business leaders, translating technical debt and roadmap requirements into clear business value and OKRs. Spearheaded the implementation of Data Quality, Lineage, and Metadata Cataloging across the entire data pipeline to ensure high trust and discoverability. Distributed Systems: N-tier architectures, Mission-critical backends, High-payload REST APIs. Big Data Stack: Spark, Trino (Presto), Iceberg, Delta Lake, Druid, Pinot, Clickhouse, Aluxio, Parquet. Data Strategy: ETL/ELT Warehousing, Real-time Stream Processing, RDBMS & NoSQL Optimization. Frontend/App Layer: Reusable UI frameworks, Client proxies

Stackforce AI infers this person is a SaaS Data Engineering Leader with expertise in high-scale distributed systems.

Location: Bengaluru, Karnataka, India

Experience: 19 yrs