Hire the Best Data Engineers in Hyderabad, IN

Senior AI & Agentic Systems Engineer specializing in Multi-Agent AI, RAG, LLM Applications, and AI Automations-n8n/make I am a Senior AI Engineer with 6+ years of experience building production-ready AI systems that solve complex business problems and generate measurable ROI. I design and build end-to-end AI solutions - from intelligent retrieval systems and multi-agent orchestration to scalable backend services and full-stack applications. My expertise goes beyond connecting APIs or building simple chatbots. I architect AI systems that reason through ambiguity, retrieve information with high precision, self-evaluate their outputs, and integrate seamlessly into existing business workflows. Whether it's automating complex operations, building internal AI copilots, or deploying enterprise-grade agentic applications, I focus on creating solutions that scale without increasing headcount. I work US EST/CST/PST business hours, making collaboration easy American teams. What I Build (AI + Automation) 1) Multi-Agent AI Systems * Planner, Router, Reflection, Evaluator, and Supervisor agent architectures * Agentic workflows with LangGraph, Google ADK, and Pydantic AI * Human-in-the-loop approval systems * Long-running autonomous business workflows 2) Enterprise RAG & Knowledge Systems * Hybrid retrieval (Dense + BM25 + Reciprocal Rank Fusion) * Agentic retrieval with query reformulation (HYDE) * Cross-encoder re-ranking * Metadata-aware search * Hallucination mitigation with citations and guardrails * Vector databases including Qdrant and PGVector 3) AI Features Inside SaaS Products * Intelligent document analysis * Contract review * Invoice processing * Classification and extraction * AI copilots * Tool-calling agents * GPT-4o Vision integrations * AI-powered search and recommendations 4) Workflow Automation & AI Operations * n8n, Make, Clay, Apify * CRM automation * LinkedIn outreach automation * ATS integrations * Email automation * Web scraping * API integrations * Business process automation 5) Full-Stack AI Applications * Python backend services * FastAPI APIs * Java and Scala services * Modern React/Next.js frontends * Authentication * Billing integrations * Background workers * Queues * Caching * Production deployment Recent AI Projects Insurance Claims AI Built a five-agent claims processing platform where specialized agents handle intake, policy analysis, evidence review, risk assessment, and payout recommendations. GPT-4o Vision analyzes damage images while uncertain claims automatically escalate to human reviewers with complete audit trails. Stack: LangGraph, GPT-4o Vision, Pydantic AI, Gradio Legal AI Assistant Developed a hallucination-resistant legal document analysis platform capable of reviewing contracts, extracting obligations, and producing grounded summaries using modular MCP architecture and high-accuracy document parsing. Stack: Google ADK, LangGraph, Docling Medical Diagnostic RAG Built a multimodal retrieval system over 10,000+ medical images using BioMedCLIP embeddings and Qdrant. AI-generated diagnostic reasoning remains grounded entirely in retrieved medical evidence with explainable outputs. Stack: Gemini Pro, BioMedCLIP, Qdrant Recruitment AI Platform Designed an end-to-end recruiting automation platform that discovers companies hiring, enriches company data through Clay, identifies decision-makers, verifies contact information, launches personalized outreach campaigns, and synchronizes everything into ATS platforms and CRMs. Results Delivered * Generated **$24,000+** in recruiting pipeline through fully automated hiring-manager outreach * Achieved **25–30% LinkedIn connection acceptance rates** using AI-personalized messaging * Reduced recruiter administrative work by **10–15 hours per week** * Built production AI systems capable of replacing repetitive operational workflows while maintaining human oversight where required ## Why Clients Choose Me * Production experience shipping AI applications from concept to deployment * Deep expertise in Agentic AI architectures—not just prompt engineering * Strong foundation in software engineering with Python, Java, Scala, and distributed systems * Advanced knowledge of retrieval engineering, RAG optimization, and evaluation methodologies * Experience building scalable full-stack AI products, APIs, and automation platforms * Clean, maintainable architecture with strong emphasis on security, observability, and long-term scalability * Business-first mindset focused Lets connect. AI & Agentic Systems | Multi-Agent AI | LLM Applications | Retrieval-Augmented Generation (RAG) | LangGraph | Google ADK | Pydantic AI | Python | FastAPI | React | Next.js | Java | Scala | GPT-4o | Gemini | Vector Databases | Qdrant | PGVector | AI Automation | n8n | Make | Clay | Docling | OCR | API Integrations | Workflow Automation

Expert-Vetted Microsoft Certified Data Engineer with 15+ years of experience in data engineering, analytics, and business intelligence. For the past 11+ years, I have worked with Direct Primary Care organizations in the United States, building healthcare data platforms that integrate EMR systems, patient portals, claims data, and operational systems into unified analytics and reporting solutions. I specialize in helping organizations turn complex healthcare and business data into clear insights and automated data pipelines using Power BI, Azure, and modern cloud data platforms. Healthcare Data Expertise • Direct Primary Care analytics and reporting • EMR data extraction and integration (Elation, Athenahealth) • Patient management and clinical reporting systems • Claims, eligibility, and prescription data integration • Healthcare data platforms and reporting pipelines ERP & Business Systems Integration • NetSuite data extraction and reporting • SuiteAnalytics ODBC integrations • Automated Saved Search data extraction • NetSuite REST API integrations using OAuth 2.0 • Financial and operational reporting pipelines Core Technical Stack Business Intelligence Power BI, Power BI Embedded, KPI dashboards, executive reporting Azure Data Platform Azure SQL, Azure Synapse, Azure Data Factory, Azure Databricks AWS Data Engineering AWS Lambda, AWS Glue, S3-based ETL pipelines Microsoft BI Stack SSIS, SSAS, SSRS Automation & APIs Power Automate, Azure Functions, REST APIs, OAuth integrations Certifications • Microsoft Certified Solutions Expert (MCSE) – Business Intelligence • Microsoft Certified Professional (MCP) • Microsoft Certified Solutions Associate (MCSA) • Microsoft Certified Technology Specialist (MCTS) Upwork Highlights ✔ Expert-Vetted (Top 1% on Upwork) ✔ $300K+ earned | 11,000+ hours | 70+ projects ✔ 14+ years of data analytics & engineering experience ✔ Proven delivery for healthcare and data-driven organizations If you need help with Power BI dashboards, healthcare data integration, NetSuite reporting, or cloud data pipelines, feel free to reach out.

I am a proactive and achievement-oriented IT professional with nearly 4 years of experience, specializing in Data Warehousing, Data Modeling, Microsoft Azure, Python, Databricks, and Business Intelligence. I have strong expertise in designing and implementing scalable data solutions to collect, ingest, and transform data from diverse sources such as databases, APIs, files, and web scraping, leveraging modern cloud-native architectures. I am a forward-thinking professional with cross-domain experience spanning Manufacturing, Private Equity, Healthcare, Consumer Durables, Satellite Broadcasting, and SaaS organizations. I have successfully delivered end-to-end data management and analytics solutions using platforms including Microsoft Azure, Snowflake, Databricks, and Microsoft Fabric. In addition to data engineering, I have worked on innovative AI-driven initiatives, including developing an LLM-based framework to refactor a React codebase, enabling automated code optimization and modularization by breaking large components into smaller, reusable components. I have also: Delivered a Databricks-based data engineering solution using Medallion Architecture, implementing Row-Level Security (RLS) to meet enterprise data governance requirements. Contributed to a Microsoft Fabric project, designing and developing ELT pipelines and semantic models to enable efficient reporting and analytics.

GEN AI Consultant specializing in state-of-the-art models, data pipelines, and generative AI applications, including agentic systems like chatbots, voice bots, and RAG solutions. I have delivered AI-driven solutions for healthcare, e-commerce platforms, and network optimization, tailored to meet industry needs.

I am an experienced Data Engineer with 5 years of hands-on experience in ETL, Data Engineering, Data Modeling, Data Integration, and Data Warehousing. My work mainly emphasizes reliability, efficiency, challenge, and simplicity. If you are looking for someone with a broad skill set who can work as a team member and take on the responsibilities of the tasks. I have experience and knowledge in the following areas, tools, and technologies: ►Data Storage: S3, Azure Storage, Google Cloud Storage ► Data Warehouse: Google BigQuery, Snowflake, Azure Synapse Analytics ► DATABASES: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle, Google Cloud Big Table ►Data Lake: Azure Data Lake Storage, AWS Lake Formation ► Data Transformation, Data Integration, Data Governance, Data Quality: Azure Data Factory, Azure Synapse, Amazon Glue, Fivetran, DBT ► Monitoring Tools: Amazon Cloudwatch, New Relic, Dynatrace, Datadog ► BI, Visualization, Data Analyst: Power BI, Metabase, Sigma BI ► OTHER SKILLS & TOOLS: SQL, Python, Rest API ► I can also work on different technologies and tools if required

I build data infrastructure and AI systems that actually work in production — not just in notebooks. As an AI & Data Engineer with hands-on experience at one of India's largest IT firms, I specialise in solving the problems that slow data teams down: slow pipelines, bloated APIs, poorly integrated LLMs, and data systems that break under real-world load. What makes me different is my deep background in systems programming. I don't just "use" tools; I build them. Whether it's custom VMs, high-performance data stores, or specialized networking protocols, I understand the "plumbing" of the modern AI stack. KEY ACHIEVEMENTS & OPEN SOURCE PROJECTS: ✦ Config-Driven Data Pipelines: Architected and implemented "Dataflow," a self-hosted ETL engine (Python/FastAPI/React) that automates data movement without the overhead of Airflow. ✦ AI Agent Infrastructure: Developed "db-mcp-suite," a comprehensive suite of Model Context Protocol (MCP) servers that connect LLMs to PostgreSQL, MySQL, and MSSQL with a semantic layer for accurate retrieval. ✦ High-Performance Systems: Built a custom Redis clone in Go and a stack-based virtual machine (smol-vm) in Go to explore and optimize execution environments. ✦ Custom Networking: Designed "VTP" (Vamsi Transfer Protocol) for efficient file synchronization over UDP , handling low-level socket programming and binary data. ━━━━━━━━━━━━━━━━━━━━━━━ WHAT I CAN BUILD FOR YOU ━━━━━━━━━━━━━━━━━━━━━━━ ✦ AI & LLM Infrastructure • Custom MCP servers for secure and efficient database-LLM interaction. • RAG pipelines using LangChain, OpenAI, and Vector DBs (Pinecone, Chroma). • LLM-powered APIs and AI agents for enterprise workflows. ✦ High-Performance Data Engineering • Scalable ETL/ELT pipelines using DuckDB, Apache Arrow, and Parquet. • Real-time data streaming and synchronization protocols. • Optimization of slow Python/JSON APIs for 10-50x speed gains. ✦ Systems & Backend Engineering • Robust FastAPI/Django services designed for high-throughput. • Custom database engines and key-value stores for specialized needs. • Low-level networking and socket-based applications. ━━━━━━━━━━━━━━━━━━━━━━━ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━ Languages: Python • Go • Java • TypeScript • C++ Tools: FastAPI • LangChain • DuckDB • Apache Arrow • Airflow • dbt • Docker Cloud: AWS (S3, Lambda, EC2, SageMaker, Glue) Databases: PostgreSQL • MySQL • MongoDB • Pinecone • Redis ━━━━━━━━━━━━━━━━━━━━━━━ BEFORE YOU INVITE ME ━━━━━━━━━━━━━━━━━━━━━━━ Message me first with a brief description of your problem. I'll tell you honestly within a few hours whether I can help, what approach I'd take, and a rough timeline. I take a maximum of 2 projects at a time to ensure high quality. If you need fast, high-quality systems or AI engineering work — let's talk.