Anant Bhandarkar — CEO

Engineering leader with 19 years in cloud data engineering and analytics, scaling platforms and teams across GCP, AWS, and Azure to deliver measurable business impact. Over 10 years in senior leadership driving org design, headcount planning, succession, hiring funnel, performance management, roadmap execution, stakeholder management, and operating cadence anchored by OKRs. Advocate of SCM/Configuration Management and CI/CD with Jenkins and Git to raise reliability and speed in regulated environments. GenAI enablement Enabled GenAI across the engineering org—standardizing toolchains (Cursor, MCPs, Vertex Agent Builder, LangGraph, Pydantic) and workflows—improving delivery speed by 30% through AI pair‑programming, code review assistants, test generation, and RAG accelerators. Impact highlights Cut lead time from commit to production from 3 days to under 2 hours; deployment success to 99.5% with policy guardrails and progressive delivery. Reduced cloud spend 50% in few workstreams via re-archtiecture, right‑sizing, storage tiering, and while maintaining SLA's. Increased on‑time delivery and reduced incident rate by 18%. Improved offer acceptance and cut time‑to‑hire by 35% by redesigning the hiring processes and interview loops at IA. Reduced IT ticket escalations 70% via RAG automation. Delivered audit automation saving up to $1.5M. Shipped a daily health assessment app for 500K associates Led an image recognition app that won P&G’s Global AI Innovation Challenge 2018. Technical leadership Gen AI: multi‑agent systems, RAG, MCPs, LangGraph, Vertex Agent Builder & ADK, Pydantic. Data Engineering & Data platforms: BigQuery, Redshift, Snowflake, Athena; batch/stream with Spark, DataProc, Serverless Spark, Airflow. Platform/Dev: SCM and Configuration Management; CI/CD with Jenkins and Git; DevSecOps; SRE/observability at scale. Apps: React, Vue, Angular; Node, Java Spring Boot, Django, Flask. Storage: Postgres, Azure SQL, MongoDB; Redis for caching. Leadership focus Org design, succession, headcount planning. Hiring funnel, performance management. Stakeholder management, roadmap execution. SRE/DevOps, security, cost optimization. OKRs and operating cadence. Open to Senior Engineering Manager, Head/Director of Engineering, Platform/DevOps leadership, and SCM/Build & Release leadership roles in Bengaluru (open to hybrid).

Stackforce AI infers this person is a SaaS and Cloud Data Engineering expert with strong leadership in engineering management.

Location: Bengaluru, Karnataka, India

Experience: 19 yrs 5 mos