Hire the Best Data Warehousing Specialists
in India

More than 3,000 reviews on G2
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Biki M.

Kolkata, India

$5/hr
5.0
14 jobs

• Qlik Sense • Qlik Sense SaaS • Qlik View • Microsoft Power BI • Microsoft Excel Specialist • Developing, Deploying, and Maintaining BI interfaces. • Backend Complex Data Modelling. • Client Support and Problem Solving. • Data Visualization and Interactive Dashboard preparation. • Ad hoc Reports preparation. • Application Testing. • Graphics Design • Cover Art design • Adobe Photoshop • Brand identity Design • Adobe Photoshop

  • Data Warehousing
  • Qlik Sense
  • QlikView
  • Microsoft Power BI
  • SQL
  • SAS
  • Microsoft Excel
  • Graphic Design
  • Adobe Photoshop
  • Data Scraping
  • Data Analysis
  • Microsoft PowerPoint
  • Google Docs
  • Microsoft Power BI Development
  • Adobe Lightroom
Ranjan K.

Kharar, India

$50/hr
4.9
129 jobs

I am a Data-Driven Marketing and Analytics Expert specializing in PPC management for platforms like Meta Ads and Google Ads. My expertise encompasses both leveraging analytics tools and optimizing advertising strategies to drive impactful results for businesses. My experience includes using a variety of Martech tools like Google Analytics (GA4), Google Tag Manager, Mixpanel, Amplitude, Heap, PostHog, Segment, Rudderstack, and AppsFlyer to track and optimize every step of the customer journey. I excel at setting up robust tracking systems to ensure all touchpoints are captured and utilized effectively. I manage and optimize advertising campaigns across multiple platforms, ensuring that ads reach the right audience while maximizing ROI. My approach combines strategic ad placements with comprehensive analytics to deliver impactful results. In addition to PPC management, I'm skilled in automating marketing workflows with platforms like Make.com, Zapier, and N8N. I have supported numerous businesses in integrating AI-driven automations to streamline their operations and enhance decision-making processes. For insights and performance tracking, I utilize data visualization tools such as Looker Studio, Metabase, and Databox. My proficiency in programming languages like JavaScript, Python, and SQL enables me to create customized solutions tailored to specific business needs. If you're looking to enhance your marketing strategy with data-driven insights and innovative ad campaigns, let's connect. I am happy to discuss how my skills and experience can benefit your business.

  • SQL
  • Data Visualization
  • JavaScript
  • Data Analytics
  • Web Analytics
  • Data Warehousing & ETL Software
  • Marketing Analytics
  • Marketing Automation
  • Product Analytics
  • AI Data Analytics
  • AI Agent Development
  • Advertising Strategy
  • MarTech
  • BigQuery
  • Google Analytics 4
Gaurav G.

Indore, MP, India

$20/hr
4.8
142 jobs

I help enterprises move AI from pilot to production and with solid data infrastructure. 20+ years building systems that survive real users and compliance requirements (SOC 2, HIPAA, GDPR). I have a strong background and experience working with companies like DXC, Lincoln National, Jackson National, and Cisco. Most "AI consultants" can demo a chatbot. Fewer can ship an agentic system that talks to your existing databases, respects your security posture, and doesn't fall over when the API rate-limits you at 2am. That's the gap I work in. What I actually build: AI agents & automation: Multi-agent systems using LangChain, LangGraph, CrewAI, and MCP-based orchestration. RAG pipelines with vector databases (Pinecone, Weaviate, pgvector) that actually retrieve the right thing. Voice AI with Twilio and Vapi for intake and support workflows. Workflow automation connecting AI to business systems via n8n, Zapier, and custom Python. I've built pipelines that take raw scraped or unstructured data and turn it into structured reports with zero manual touch. Data engineering: ETL/ELT pipelines on Airflow, dbt, and Spark; warehouses on Snowflake, BigQuery, Databricks, and the major clouds (AWS, Azure, GCP); real-time streaming with Kafka/Kinesis. If your AI project is stalling because the data underneath it is a mess, this is usually where I start. MLOps & production infrastructure: CI/CD for ML, model monitoring and drift detection, Docker/Terraform-based deployment. I build for handoff, not just demo day — clear documentation, monitored pipelines, and systems your internal team can actually maintain after I'm gone. Compliance-aware builds: Experience delivering under CMMI Level 5, SOC 2, HIPAA, and GDPR constraints, which matters if you're in finance, healthcare, or insurance (where most of my enterprise work has been). I work best with clients who have a real business problem, not just "we want to use AI somewhere. Tell me what's broken or slow, and I'll tell you honestly whether AI/automation is the right fix and if it's not, I'll say so before you spend the budget. Available now for both project-based work and ongoing engagements. Invite me to your job post to discuss your data infrastructure needs. AI Agents | Agentic Workflows | Document Intelligence | ERP Automation | RFQ Automation | Claude AI | OpenAI | Manufacturing AI | Industrial Automation Supply Chain Intelligence | Predictive Analytics | Inventory Optimization | Snowflake | Data Engineering | Manufacturing Intelligence | AI Recommendations AI Compliance Copilot | RAG | Enterprise Search | Knowledge Management | Document Intelligence | AI Governance | Regulatory Compliance Enterprise Data Platform | Data Engineering | Snowflake Migration | MDM | Entity Resolution | Executive Analytics | Post-Merger Integration Engineering Copilot | RAG | Semantic Search | Proposal Automation | AI Estimation | Knowledge Intelligence | Generative AI CFO Copilot | Financial Intelligence | Snowflake | Executive Dashboards | Variance Analysis | AI Reporting | Data Modernization - AI Agents - Agentic Workflows - AI Automation - Enterprise AI - AI Integration - RAG (Retrieval-Augmented Generation) - Multi-Agent Systems - LLM Applications - AI Copilots - Workflow Automation - Knowledge Management - Document Intelligence - ERP Automation - Snowflake - dbt - Airflow - Data Engineering - Analytics Engineering - Vector Databases - LangGraph - n8n - MCP (Model Context Protocol) - AI-Powered Decision Support - AI Operations (AIOps) - Predictive Analytics - Intelligent Document Processing (IDP) - Process Mining - Digital Transformation - Manufacturing Intelligence - Supply Chain Optimization - AI-Powered Compliance - Generative AI Solutions - Enterprise Search - Semantic Search - Conversational Analytics - Executive AI Dashboards - AI Governance - Human-in-the-Loop AI - Autonomous Business Workflows

  • AI Development
  • Python
  • Tableau
  • AI Agent Development
  • SQL
  • Data Engineering
  • Data Warehousing & ETL Software
  • Data Analytics & Visualization Software
  • AWS Lambda
  • Data Modeling
  • Data Lake
  • Data Analysis Consultation
  • Data Cleaning
  • ETL Pipeline
  • Apache Airflow
  • Automation
  • AI Chatbot
  • LLM Prompt Engineering
  • Agent GPT
  • Snowflake
Sanjay K.

Noida, India

$20/hr
4.8
43 jobs

Experienced Power BI developer who converts raw business data into interactive dashboards, advanced analytics, and actionable intelligence. I partner with startups, SMBs, enterprises, and consulting firms to build scalable reporting ecosystems that improve visibility, forecasting, decision-making, and operational performance. With deep expertise in Power BI, DAX, data modeling, ETL, SQL, and data visualization, I deliver secure, scalable reporting solutions aligned to business goals. I create visually engaging dashboards, optimized data models, automated reports, and KPI-focused insights that enable faster, data-driven decisions. Work I do: ✔Power BI dashboard development and executive reporting ✔Advanced DAX measures and calculations ✔Data modeling, relationships, and performance optimization ✔ETL design, data cleaning, and Power Query (M) optimization ✔SQL query development and multi-source data integration ✔Financial, sales, and operational analytics with forecasting and KPI tracking ✔Excel-to-Power BI migration, report automation, and ongoing BI support Technical strengths: ✔Power BI, DAX, Power Query (M), and data modeling ✔ETL pipelines, data transformation, and validation ✔SQL Server, PostgreSQL, MySQL, Excel, APIs, SharePoint, Dynamics 365, ERP/CRM integration ✔Executive dashboards, drilldowns, filters, and data storytelling Why clients hire me: ✔Strong Power BI and advanced DAX skills ✔Business-focused, outcome-driven reporting ✔Interactive, visually compelling dashboards ✔Fast, transparent communication and reliable delivery ✔Domain experience across finance, healthcare, retail, logistics, and enterprise Long-term analytics partnership and support I turn complex data into clear insights and measurable outcomes helping organizations make smarter, faster decisions. Let’s turn your data into actionable business intelligence.

  • Data Visualization
  • Microsoft Power BI Data Visualization
  • Data Warehousing & ETL Software
  • Tableau
  • Data Analysis
  • Microsoft Power BI
  • Dashboard
  • Data Visualization Framework
  • Microsoft Power BI Development
  • Microsoft Power Automate
  • Enterprise Software Development
  • Business Intelligence
  • Business Intelligence Software
  • Interactive Data Visualization
  • Data Migration
  • Visualization
  • ETL
  • Data Chart
  • Microsoft Certified Professional
  • Microsoft Certified Information Technology Professional
Aarthi K.

Bengaluru, India

$20/hr
4.9
2 jobs

Looker Studio & Google Analytics specialist who builds the whole stack and not just the front end. I pipe GA4, ad-platform and database data into BigQuery using Windsor.ai, Airbyte and dbt, then build clean, reliable Looker Studio and Metabase dashboards your marketing and e-commerce teams actually use. I build AI ready data pipelines designed from the start so AI agents and MCPs can run on top of them reliably. That means clean schemas, dbt documented metadata, and context engineering: structuring what Claude or any LLM knows about your data so it answers business questions correctly, not just quickly. Claude MCP integrations connect AI directly to live databases. Architecture and QA on every project is overseen by a BI Veteran with 12 years of experience. Work that used to take 2 to 3 weeks delivered in 3 to 5 days — not by cutting corners, but by validating continuously as we build. 🎯 My focus is simple like clean data models, reliable KPIs, and dashboards people actually open. 🛠️ What I build (end to end): ✅ Marketing & web data pipelines: automated ingestion from GA4, Google Ads, Meta or Facebook, Shopify, databases and APIs into BigQuery using Windsor.ai, Airbyte and dbt for staging, intermediate and fact models, GitHub version control, and monitoring or alerts so the data stays reliable. ✅ Google Analytics reporting: GA4 and web data exported into BigQuery for complete historical data, then modeled into decision-ready Looker Studio dashboards. ✅ Looker Studio & Metabase dashboards: interactive marketing, web and e-commerce reporting calculated fields, period comparisons (MoM, YoY, growth %), running totals, filters, permissions and governance. ✅ Automated reporting: scheduled, hands-off pipelines that build and deliver client reports on a daily cadence, so your team stops rebuilding spreadsheets. ✅ BigQuery & SQL: advanced SQL (PostgreSQL, MySQL, BigQuery), query optimization, complex joins and CTEs, and clean star-schema models. 📌 Recent work: ✅ An automated marketing reporting pipeline that produces and delivers per client dashboards every day, unattended. ✅ Multi clinic lead and performance analytics for a 30 location network (GoHighLevel to Cloud Run to BigQuery to Looker Studio). ✅ GA/GA4 web analytics dashboards for global and EU e-commerce sites. ✅ Amazon Selling Partner sales, profit, margin and returns analytics in Metabase on a dbt and BigQuery pipeline. 💡 How I add value: ✅ I own the whole flow from raw source to the dashboard, so nothing breaks between the pipeline and the report. ✅ I translate business and marketing questions into structured data and clear KPIs. ✅ I build scalable models and pipelines so reporting stays reliable as you grow. ✅ I keep data accurate, consistent and governed. I don't just build dashboards; I build the pipeline and the dashboard, so your numbers are trustworthy end to end. 🤝 Why clients work with me: ✅ Strong SQL and data modeling foundation ✅ Clean, structured, well documented development ✅ Business focused mindset, not just technical ✅ Clear communication and reliable long term collaboration 📩 If you need a marketing or web analytics stack built right from BigQuery pipelines to Looker Studio and Metabase dashboards, send me a message and let's turn your data into clarity.

  • Data Warehousing
  • Looker Studio
  • Google Analytics
  • BigQuery
  • dbt
  • ETL Pipeline
  • Data Engineering
  • SQL
  • Python
  • Web Analytics
  • Marketing Analytics
  • Data Visualization
  • Data Analysis
  • Metabase
  • Dashboard
  • Data Modeling
  • Google Cloud Platform
  • Microsoft Power BI
  • Business Intelligence
Shantanu J.

Indore, India

$40/hr
5.0
167 jobs

🏆 TOP RATED PLUS Data Expert | Top 3% on Upwork 💰 $600K+ earned | 16,000+ hours | 130+ clients served I am a Sr Data Engineer with expertise in developing robust AI Agents & Analytics layer. I bring over 8 years of hands-on experience with: - Building scalable ETL data pipelines that fetch raw data froms APIs and store it into data warehouses hosted over GCP/AWS (BigQuery | Snowflake | Redshift). - Developing Business Intelligence reports and dashboards using Data Studio (formerly Looker Studio), Metabase, Looker, Tableau etc. - Building powerful AI Agents using Gemini, Claude, OpenAI, Dialogflow. - Track user behaviour data using GA4 and Google Tag Manager. I’ve worked with 130+ clients across eCommerce (Shopify, WooCommerce), digital marketing & paid ads (Meta, Google Ads), mobile apps & gaming analytics, SaaS & web apps, and data-driven businesses in education, clean energy & media. 💡 What I do (End-to-End Ownership) 1. Data Engineering & Warehousing: - Build scalable, reliable data pipelines using BigQuery, Snowflake, Redshift, Python and APIs of data sources - Automated ETL (Airflow, APIs, Fivetran, custom Python scripts) - Single source of truth across marketing + product + revenue 2. Analytics & BI (Decision Systems, not just dashboards): - Executive dashboards (Looker, Data Studio (formerly Looker Studio), Metabase, Power BI, Tableau) - KPI frameworks aligned to revenue - Cohort, LTV, attribution & funnel analysis 3. Marketing & Web Tracking (Accuracy = $$$) - GA4, Google Tag Manager, Server-side tracking - Meta CAPI, Google Ads, TikTok tracking - Fix broken attribution & data loss 4. Generative AI & Automation - AI agents & workflows (OpenAI, Gemini, Claude) - Automate reporting, insights, and ops - Use AI where it actually improves ROI (not hype) 📈 Real Outcomes I’ve Delivered ✔ Built full marketing data warehouse → improved spend efficiency by 30%+ ✔ Fixed tracking & attribution → recovered lost revenue visibility ✔ Automated reporting → saved 20+ hrs/week for teams ✔ Delivered exec dashboards → faster, data-backed decisions 🧠 Why Clients Choose Me - I think like a business owner, not just an engineer - I focus on revenue impact, not vanity metrics - I handle end-to-end (tracking → pipelines → dashboards → insights) - Strong communication + fast execution (no hand-holding needed) 📈 My Tech Stack: - Business Intelligence & Data Visualisation: Google Data Studio (formerly Looker Studio) , Looker, Metabase, Power BI, Mode, Tableau, Databox, Zoho Analytics, DOMO, Google Sheets, etc. - AI: LLMs like OpenAI, ChatGPT, Gemini, Claude, DeepSeek, and GCP's services like Document AI, DialogFlow, CCAI, etc. - Engineering: SQL, Python, Airflow, APIs, Cloud Functions, Lambda Functions, Cloud Composer, Cloud Run - Data Warehouses: BigQuery, Redshift, MS SQL, MySQL, PostgreSQL, Snowflake, and Azure. - ETL & Webhook tools: n8n, Fivetran, Stitch, Windsor, Supermetrics, Power My Analytics, Saras Analytics, Zapier, Make, etc. - Tracking: Google Tag Manager, Google Analytics 4, Meta Ads Conversion API, Google Ads Conversion tracking, Stape, Server-side tracking. - Data Sources: Shopify, WooCommerce, BigCommerce, Meta Ads, Google Ads, TikTok Ads, Pinterest Ads, LinkedIn Ads, Apple Ads, Amazon Ads, Bing Ads, Google Analytics 4, Google Search Console, Google My Business, HubSpot, Active Campaign, PipeDrive, Facebook Page Insights, Instagram Insights, Stripe, SEMRush, MailChimp, Klaviyo, ClickUp, Ahref, etc. 👉 Let’s Work If you’re looking for someone who can own your entire data stack and turn it into a revenue engine, let’s talk. Click “Invite” and let’s discuss your use case 🚀 ----- 🔍 𝗞𝗘𝗬𝗪𝗢𝗥𝗗𝗦 GA4, Google Analytics 4, Google Tag Manager (GTM), Server-side Tracking, Meta Conversion API (CAPI), Google Ads Conversion Tracking, Marketing Attribution, BigQuery, Snowflake, Redshift, Data Warehouse, Big Data, Data Engineering, ETL, ELT, Data Pipelines, Apache Airflow, Airflow DAGs, PySpark, Spark, Databricks, SQL, Python, Advanced SQL, Data Modeling, Data Transformation, Data Architecture, Data Lakes, Data Studio, Looker Studio, Power BI, Tableau, Data Visualization, Dashboard Development, Business Intelligence (BI), KPI Dashboard, Reporting Automation, Shopify Analytics, WooCommerce Analytics, Marketing Analytics, Product Analytics, Funnel Analysis, Cohort Analysis, LTV Analysis, Retention Analysis, Generative AI, OpenAI, ChatGPT, Gemini, Claude, AI Agents, AI Automation, AI Agents, LLM Applications, n8n, Workflow Automation, No-code Automation, Low-code Automation, Zapier, Make (Integromat), API Integrations, Webhooks, Stripe, HubSpot, Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Cloud Platforms (GCP, AWS), Cloud Functions, AWS Lambda, Data Orchestration

  • Data Warehousing
  • Amazon Web Services
  • Apache Airflow
  • BigQuery
  • Business Intelligence
  • Python
  • Google Tag Manager
  • SQL
  • Data Science
  • Looker Studio
  • Google Cloud Platform
  • Artificial Intelligence
  • Data Engineering
  • ETL Pipeline
  • Data Visualization
  • Tableau
  • Generative AI
  • AWS Lambda
  • Big Data
  • Amazon Redshift

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