Rudra Patel
Ahmedabad, India
Rudra Patel
Data Engineer | Blockchain ETL Pipelines | BigQuer
Category : Crypto and Blockchain
I am a Data Engineer with hands-on experience building high-throughput blockchain ETL pipelines and large-scale web scraping infrastructure. Currently working full-time as a Junior Data Engineer at MV. Tech, I process 10M+ daily on-chain and off-chain records across Ethereum, Bitcoin, IMX, and zkEVM networks — transforming raw blockchain data into analytics-ready BigQuery datasets.
I specialize in:
- ETL/ELT Pipeline Engineering — end-to-end design, automation & monitoring
- Blockchain Data Analytics — on-chain & off-chain data across multi-chain ecosystems
- SQL & BigQuery Optimization — 40% query latency reduction, partition & cluster tuning
- Web Scraping at Scale — Selenium, BeautifulSoup, proxy rotation, rate limiting
- Full-Stack Development — Laravel (PHP), Next.js, REST APIs, MySQL, MongoDB
Beyond data engineering, I bring strong full-stack experience building enterprise platforms at KudosIntech, including an event management portal handling thousands of concurrent users with <200ms API response times.
I specialize in:
- ETL/ELT Pipeline Engineering — end-to-end design, automation & monitoring
- Blockchain Data Analytics — on-chain & off-chain data across multi-chain ecosystems
- SQL & BigQuery Optimization — 40% query latency reduction, partition & cluster tuning
- Web Scraping at Scale — Selenium, BeautifulSoup, proxy rotation, rate limiting
- Full-Stack Development — Laravel (PHP), Next.js, REST APIs, MySQL, MongoDB
Beyond data engineering, I bring strong full-stack experience building enterprise platforms at KudosIntech, including an event management portal handling thousands of concurrent users with <200ms API response times.
Working hours
- Monday:08h00 To 23h45
- Tuesday:08h00 To 23h45
- Wednesday:08h00 To 23h45
- Thursday:08h00 To 23h45
- Friday:08h00 To 23h45
- Saturday:Not available
- Sunday:Not available
![I will build a scalable web scraping system to extract structured data for you]()
I'll build reliable web scraping pipelines using Python, Selenium, and BeautifulSoup with proxy rotation, rate limiting, and scheduling — extracting millions of structured records with near-zero ...![I will build a blockchain data pipeline to extract and analyze on-chain data]()
I'll develop production-grade pipelines extracting on-chain and off-chain data from Ethereum, Bitcoin, IMX, or zkEVM networks into structured analytical datasets. Handles millions of records ...![I will optimize your BigQuery data models and reduce cloud query costs]()
I'll audit and optimize your BigQuery datasets using partition/cluster strategies, efficient SQL queries, and data modeling best practices — reducing query latency and cloud processing costs s ...![I will build a production-grade ETL pipeline to automate your data workflows]()
I'll engineer end-to-end ETL/ELT pipelines using Python and SQL to extract, transform, and load data from any source into your data warehouse (BigQuery, PostgreSQL, etc.). Includes data ...![I will design and optimize your relational or NoSQL database schema]()
I'll design efficient MySQL, PostgreSQL, or MongoDB schemas tailored to your application's scale. Includes query optimization, indexing strategies, and data consistency best practices for ...![I will develop a full-stack web application using Laravel and Next.js]()
End-to-end web application development with a Laravel backend and Next.js + Tailwind CSS frontend. Includes relational/NoSQL database design, RBAC, API integrations, and optimized <200ms response ...![I will build scalable REST APIs using Laravel or Node.js for your application]()
I'll design and develop robust, secure RESTful backend APIs using Laravel (PHP) or Node.js/Express.js with authentication, RBAC, and database integration (MySQL, MongoDB, PostgreSQL). Delivered ...
• Engineered end-to-end ETL pipelines ingesting and transforming data from blockchain APIs and web sources into analytics-ready BigQuery datasets.
• Processed 10M+ daily on-chain and off-chain records across Ethereum, Bitcoin, IMX, and zkEVM networks , normalizing and enriching raw data for analytics and business use cases.
• Optimized SQL queries and BigQuery data models, reducing analytical query latency by ~40% and cutting cloud processing costs through partition and cluster optimizations.
• Automated monitoring workflows that reduced manual pipeline intervention by 60%, improving overall reliability and uptime of production data systems.
• Collaborated with analysts to deliver data-driven reporting dashboards used for business-critical decision making.
• Processed 10M+ daily on-chain and off-chain records across Ethereum, Bitcoin, IMX, and zkEVM networks , normalizing and enriching raw data for analytics and business use cases.
• Optimized SQL queries and BigQuery data models, reducing analytical query latency by ~40% and cutting cloud processing costs through partition and cluster optimizations.
• Automated monitoring workflows that reduced manual pipeline intervention by 60%, improving overall reliability and uptime of production data systems.
• Collaborated with analysts to deliver data-driven reporting dashboards used for business-critical decision making.
• Built and maintained RESTful backend APIs using Laravel for scalable enterprise applications.
• Integrated Freshdesk and Harvest APIs to automate billing and reporting workflows, eliminating ~5 hours/week of manual work.
• Developed high-performance Next.js frontend interfaces and designed relational/NoSQL schemas (MySQL, MongoDB), ensuring data consistency and optimal query performance at scale.
• Integrated Freshdesk and Harvest APIs to automate billing and reporting workflows, eliminating ~5 hours/week of manual work.
• Developed high-performance Next.js frontend interfaces and designed relational/NoSQL schemas (MySQL, MongoDB), ensuring data consistency and optimal query performance at scale.
• Developed backend APIs and responsive frontend components for a live high-traffic event platform serving thousands of
• Optimized relational DB models and conducted systematic debugging to improve system scalability and stability.
• Optimized relational DB models and conducted systematic debugging to improve system scalability and stability.
- Google Advanced Data Analytics Professional Certificate 24/02/2026
![Google Advanced Data Analytics Professional Certificate]()
https://coursera.org/share/6f85b93cf9939ba8c312b55fb67aa9e2
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