Bhanu Chandar

CTO

Hyderabad, Telangana, India18 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 18+ years in data platform engineering
  • Expert in streaming and lakehouse architectures
  • Proven track record in team building and leadership
Stackforce AI infers this person is a Data Infrastructure Architect with extensive experience in real-time data platforms and analytics.

Contact

Skills

Core Skills

Streaming DataLakehouse Architecture

Other Skills

Apache IcebergKafkaData PlatformsReal-Time AnalyticsCloud DataData GovernanceFlinkDatabricks DeltaLakeSnowflake PolarisDatabricks UnityAWS GlueTrinoSQLSoftware DevelopmentUnix

About

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.

Experience

18 yrs 1 mo
Total Experience
2 yrs 7 mos
Average Tenure
3 yrs 5 mos
Current Experience

Confluent

Engineering Leader

Dec 2022Present · 3 yrs 5 mos · Bengaluru, Karnataka, India · Remote

Apache IcebergKafkaData PlatformsReal-Time AnalyticsCloud DataData Governance+2

Salesforce

Engineering Manager

Oct 2020Nov 2022 · 2 yrs 1 mo · Hyderabad, Telangana, India

Jpmorgan chase & co.

Engineering Team Lead

Jul 2018Mar 2020 · 1 yr 8 mos · Hyderabad Area, India

Oracle

Principle Member Technical Staff

Apr 2017May 2018 · 1 yr 1 mo · Hyderabad Area, India

Synopsys inc

Sr. R & D Engineer II

Apr 2012Apr 2017 · 5 yrs · Hyderabad Area, India

Tata consultancy services

IT Analyst

May 2010Nov 2011 · 1 yr 6 mos · Hyderabad Area, India

Wipro limited

Project Engineer

Jan 2007May 2010 · 3 yrs 4 mos · Hyderabad Area, India

Education

Vardaman College of Engineering

Bachelor of Technology - BTech

Jan 2002Jan 2006

Stackforce found 100+ more professionals with Streaming Data & Lakehouse Architecture

Explore similar profiles based on matching skills and experience