Bhanu Chandar — CTO
Engineering Leader | Data Platform | Streaming | Lakehouse | AI/ML Infrastructure Engineering leader with 18+ years of experience building and scaling real-time data platforms, streaming architectures, and analytics infrastructure for AI/ML and data-driven organizations. Core Expertise: Streaming Data (Kafka) • Lakehouse Architecture • Apache Iceberg • Delta Lake • Data Platforms • Distributed Systems • Real-Time Analytics • Data Engineering • Cloud Data (Snowflake, Databricks) • Trino • Data Governance • Data Quality • Data Lineage • Access Control • OLAP/OLTP Systems Leadership & Impact: Built and scaled high-performing engineering teams delivering petabyte-scale data platforms. Led architecture of streaming-to-lakehouse systems, reducing pipeline complexity by 40% and improving data governance and time-to-insight for 100+ data scientists and analysts. Streaming & Lakehouse: Architected high-throughput Kafka deployments with strong durability and security. Led Kafka-to-Iceberg integration(Tableflow), enabling unified streaming + batch analytics. Deep experience with open table formats and modern data catalogs. Modern Data Stack: Delivered integrations across cloud data ecosystems including object storage, distributed query engines and observability platforms. Built scalable frameworks for data quality, lineage and governance. Technical Strategy: Drive architecture for distributed systems, columnar storage and hybrid OLAP/OLTP workloads. Strong decision-making on best-fit architectures (specialized systems vs. lakehouse). Organization Building: Hire, mentor and lead engineering teams. Partner with product, data science and platform leaders to align technical strategy with business outcomes. Advocate for engineering excellence, reliability and data democratization. Passionate about building scalable data infrastructure that turns data into competitive advantage.
Stackforce AI infers this person is a Data Infrastructure Architect with extensive experience in real-time data platforms and analytics.
Location: Hyderabad, Telangana, India
Experience: 18 yrs 1 mo
Skills
- Streaming Data
- Lakehouse Architecture
Career Highlights
- 18+ years in data platform engineering
- Expert in streaming and lakehouse architectures
- Proven track record in team building and leadership
Work Experience
Confluent
Engineering Leader (3 yrs 5 mos)
Salesforce
Engineering Manager (2 yrs 1 mo)
JPMorgan Chase & Co.
Engineering Team Lead (1 yr 8 mos)
Oracle
Principle Member Technical Staff (1 yr 1 mo)
Synopsys Inc
Sr. R & D Engineer II (5 yrs)
Tata Consultancy Services
IT Analyst (1 yr 6 mos)
Wipro Limited
Project Engineer (3 yrs 4 mos)
Education
Bachelor of Technology - BTech at Vardaman College of Engineering