Satheesh Valluru

AI Researcher

Hyderabad, Telangana, India10 yrs 8 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in designing advanced data pipelines and architectures.
Proven leadership in managing high-performing data engineering teams.
Skilled in real-time data processing and API development.

Stackforce AI infers this person is a Data Engineering expert in SaaS with a focus on real-time data solutions.

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Skills

Core Skills

Extract, Transform, Load (etl)Large Language Models (llm)Apache HudiMicrosoft AzureNode.js

Other Skills

Generative AIISO 27001Test AutomationReact.jsComplex Event ProcessingAgentic AIData WarehousingDocker ProductsData EngineeringRESTful WebServicesNext.jsPeople ManagementSOC 2KubernetesSolution Architecture

About

Experienced and results-driven Lead Data Engineer with a proven track record of designing, developing, and deploying robust data solutions. I specialize in end-to-end data pipelines, including ETL processes with Hudi and Spark, and real-time data processing using Flink and Storage using Pinot. My expertise extends to building APIs on real-time data and developing intelligent agents with emerging Agentic Frameworks. I lead a high-performing team of data engineers, fostering collaboration and technical excellence. Beyond team leadership, I am adept at analyzing and evaluating emerging technologies to drive project innovation. I excel in collaborating with stakeholders to translate complex business requirements into scalable data solutions and work closely with DevOps teams to ensure seamless deployment and operational efficiency. Passionate about leveraging data to provide actionable insights and deliver impactful business outcomes.

Experience

10 yrs 8 mos

Total Experience

2 yrs 8 mos

Average Tenure

2 yrs 9 mos

Current Experience

Dhan ai

2 roles

Principal Data Engineer | ETL & Agentic Solutions

Promoted

May 2025 – Present · 1 yr · Hyderabad, Telangana, India · Remote

Responsible for designing, developing, and optimizing advanced data pipelines and architectures, with a specialized focus on Extract, Transform, Load (ETL) processes and the integration of LLM-powered agentic solutions. This role involves driving innovation in real-time data processing, building robust APIs, and leading a team of data engineers, while collaborating closely with stakeholders and cross-functional teams to deliver impactful data-driven products.

Large Language Models (LLM)Extract, Transform, Load (ETL)