Hire the Best Data Engineers in Hyderabad, IN

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.

I help businesses transform raw data into actionable insights by building scalable data solutions, automated reporting systems, and interactive dashboards using Power BI, Tableau, Looker, and modern data engineering practices. My focus is on creating efficient data pipelines, centralized reporting systems, and business intelligence dashboards that improve decision-making and operational visibility. I design solutions that collect, clean, transform, and visualize data in a way that supports business growth and performance tracking. I build and optimize dashboards in Power BI, Tableau, and Looker, including KPI reporting, executive dashboards, sales analytics, marketing analytics, and operational reporting. I specialize in data modeling, DAX, SQL, ETL processes, and report optimization to ensure fast, accurate, and scalable analytics solutions. As a Data Engineer, I develop automated workflows and data pipelines that integrate data from multiple platforms into centralized reporting environments. I work with APIs, cloud databases, data warehouses, and automation tools to streamline reporting and reduce manual work. My goal is to help businesses create a reliable, data-driven ecosystem that improves reporting accuracy, team productivity, and strategic decision-making.

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

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 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.