07/13/2026 updated
100 % available
Senior Data Engineer | Data Analyst | AI/LLM Specialist | GCP Certified
Ahmedabad, India
Only remote
Bachelor of Technology - Computer Science & Engineering (Big Data Analytics)About me
I'm a Senior Data Engineer with 5+ years of experience building data pipelines, analytics solutions and AI workflows. I specialize in Python, SQL, Snowflake and cloud platforms, helping businesses transform complex data into reliable insights through automation, dashboards, scalable data solutions.
dbtData AnalysisBig DataGoogle BigQueryCloud EngineeringData ArchitectureData InfrastructureData IntegrationExtract Transform Load (ETL)Data Manipulation LanguagesData TransformationData ProfilingData Transformation ServicesData VirtualizationData Warehousing
ETL/ELT Pipeline Development & Data Engineering
Design and development of high-performance ETL/ELT pipelines, dimensional data models, and reporting platforms. Experience with Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL, and SQL Server for building scalable data warehouses and data lakes across cloud environments.
Cloud Platforms & Infrastructure
Extensive work with AWS (S3, EC2), Google Cloud Platform (Cloud Run, Cloud Storage, BigQuery), and Microsoft Azure (Azure Blob Storage, Azure Data Factory, Azure SQL Database, Azure Analysis Services). Deployment and automation of data workflows across multi-cloud environments.
AI, LLM & Automation Workflows
Design and implementation of enterprise AI automation platforms leveraging LLMs (GPT, Claude, Llama, Qwen), RAG workflows, and agentic integrations. Application of Prompt Engineering, RLHF, and LLM Evaluation frameworks to automate business operations and data extraction tasks.
Business Intelligence & Data Visualization
Development of BI dashboards and self-serve reporting applications using Power BI, Tableau Desktop, Tableau Server, Salesforce CRM Analytics, Streamlit, and Plotly. Delivery of financial and operational KPIs with real-time visibility into business metrics.
Blockchain Data Engineering & Web3
Building centralized data ledgers consolidating transaction data from multiple blockchain networks. Development of ETL pipelines for blockchain valuation, transaction classification, and on-chain analytics using Web3.py, Smart Contract ABI Decoding, and Blockchain RPC Integrations.
Python & SQL Programming
Advanced programming in Python and SQL for data transformation, automation, web scraping, and pipeline development. Use of libraries such as Pandas, PyArrow, NumPy, SQLAlchemy, and frameworks like FastAPI and Flask.
Data Modeling & Data Warehousing
Design of scalable fact and dimension data models, conformed dimensions, bridge tables, and source-to-target mappings. Creation of reporting-ready semantic structures and curated data layers for enterprise analytics.
Web Scraping & Data Extraction
Implementation of high-performance Python-based web scraping frameworks with advanced anti-bot bypass mechanisms including Cloudflare verification handling and dynamic browser automation. Automated data extraction from APIs, documents, and web sources.
REST APIs & Integration
Engineering of scalable automated data pipelines connecting multiple sources through REST APIs, blockchain RPCs, webhooks, OAuth flows, and Web3.py integrations to optimize ingestion, transformation, and integration of diverse datasets.
Machine Learning & Predictive Modeling
Development of predictive analysis algorithms for financial data, stock trend identification, and time series analysis. Application of machine learning algorithms, feature engineering, and statistical modeling for business use cases.
Design and development of high-performance ETL/ELT pipelines, dimensional data models, and reporting platforms. Experience with Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL, and SQL Server for building scalable data warehouses and data lakes across cloud environments.
Cloud Platforms & Infrastructure
Extensive work with AWS (S3, EC2), Google Cloud Platform (Cloud Run, Cloud Storage, BigQuery), and Microsoft Azure (Azure Blob Storage, Azure Data Factory, Azure SQL Database, Azure Analysis Services). Deployment and automation of data workflows across multi-cloud environments.
AI, LLM & Automation Workflows
Design and implementation of enterprise AI automation platforms leveraging LLMs (GPT, Claude, Llama, Qwen), RAG workflows, and agentic integrations. Application of Prompt Engineering, RLHF, and LLM Evaluation frameworks to automate business operations and data extraction tasks.
Business Intelligence & Data Visualization
Development of BI dashboards and self-serve reporting applications using Power BI, Tableau Desktop, Tableau Server, Salesforce CRM Analytics, Streamlit, and Plotly. Delivery of financial and operational KPIs with real-time visibility into business metrics.
Blockchain Data Engineering & Web3
Building centralized data ledgers consolidating transaction data from multiple blockchain networks. Development of ETL pipelines for blockchain valuation, transaction classification, and on-chain analytics using Web3.py, Smart Contract ABI Decoding, and Blockchain RPC Integrations.
Python & SQL Programming
Advanced programming in Python and SQL for data transformation, automation, web scraping, and pipeline development. Use of libraries such as Pandas, PyArrow, NumPy, SQLAlchemy, and frameworks like FastAPI and Flask.
Data Modeling & Data Warehousing
Design of scalable fact and dimension data models, conformed dimensions, bridge tables, and source-to-target mappings. Creation of reporting-ready semantic structures and curated data layers for enterprise analytics.
Web Scraping & Data Extraction
Implementation of high-performance Python-based web scraping frameworks with advanced anti-bot bypass mechanisms including Cloudflare verification handling and dynamic browser automation. Automated data extraction from APIs, documents, and web sources.
REST APIs & Integration
Engineering of scalable automated data pipelines connecting multiple sources through REST APIs, blockchain RPCs, webhooks, OAuth flows, and Web3.py integrations to optimize ingestion, transformation, and integration of diverse datasets.
Machine Learning & Predictive Modeling
Development of predictive analysis algorithms for financial data, stock trend identification, and time series analysis. Application of machine learning algorithms, feature engineering, and statistical modeling for business use cases.
Experience
Professional experience5 - 10 years
Freelancer since2026
Languages
EnglishFluentHindiBasic knowledge
Project history
Led enterprise analytics modernization by migrating legacy reporting processes into a Snowflake-based cloud data warehouse. Designed scalable fact and dimension data models for Power BI reporting, built reusable Snowflake SQL views, created source-to-target mappings, and developed validation and reconciliation checks across pipeline stages. Supported ingestion and automation planning using Azure Data Factory, Blob Storage, and Snowflake.
Built a centralized data ledger consolidating transaction data from 4+ blockchain networks. Designed and implemented an enterprise AI automation platform leveraging LLMs, RAG, and agentic workflows. Led development of a multi-chain transaction platform, developed automated Python and SQL ETL pipelines for blockchain analytics, and built scalable data warehouses across Amazon Redshift, Google BigQuery, PostgreSQL, and Snowflake.
Engineered scalable ETL pipelines to collect, transform, and integrate blockchain intelligence data from multiple public data sources. Designed high-performance Python-based web scraping frameworks, implemented advanced anti-bot bypass mechanisms, built automated data ingestion and transformation workflows, and optimized Google BigQuery data models for analytical performance.