Sravanthi Kondoju
Data Platform Engineering Lead at Target
Data and platform engineering leader with 17+ years in enterprise data infrastructure, leading data platform engineering at Target since 2018 with accountability for platform strategy, design and reliability. Her earlier roles span Macy's, Oracle, FedEx and ADP, and she speaks regularly on observability and resilient data architecture as well as mentoring on ADPList.
Key arguments & positions
- Speaks on observability and monitoring as a first-class part of a data platform, not an add-on.
- Designs for resilience — architecture patterns that keep working when parts of the system fail.
- Works across hybrid cloud and on-premises big-data migration rather than assuming a clean cloud build.
- From her conference talk: analytics, retrieval-augmented generation and AI agents each demand different things from the same data platform.
Accomplishments
- Data Platform Engineering Lead at Target since 2018, accountable for platform strategy, design and reliability.
- 17+ years in enterprise data infrastructure, including Macy's, Oracle, FedEx and ADP.
- Speaker at Data Summit 2026 on designing resilient architecture patterns.
- Speaker at the Women Tech Global Conference on observability in modern data platforms.
Papers & key writings
Links
In the library
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AI Agents Course (Hugging Face)
Free course on autonomous and tool-using agent architecture, with framework implementations in smolagents, LlamaIndex, and LangGraph, plus agentic RAG workflows.
Why this: Covers RAG and AI agents too
Langflow
Open-source, low-code visual builder for agentic and retrieval-augmented generation (RAG) AI applications. Free to self-host; the project also offers hosted options.
Why this: Covers RAG and AI agents too
2026 AI Agents Best Practices (Datadog ebook)
Free ebook on building, monitoring, and troubleshooting AI agents in production: what to instrument, where agents fail, and the practices teams use to keep them reliable.
Why this: Covers observability and AI agents too
Why AI agents invent their own language if you let them chat
Science news article on research into why AI agents drift into their own shorthand or invented language when allowed to talk to each other freely. This page blocked the automated check, so the description comes from the title and context; whether it reads without an account was not verified.
Why this: Also about AI agents