Hire the Best Sqoop Specialists in Indore, IN

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Satyadeep S.

Indore, India

$20/hr
5.0
4 jobs

Hi, As a seasoned data engineering professional, I have successfully spearheaded multiple high-impact projects across various domains, utilizing a comprehensive array of technologies to enhance data processing, integration, and business analytics. My expertise spans from creating robust data platforms to optimizing data-driven decision-making processes. Technologies Expertise: Data Platforms and Tools: Extensively experienced with Snowflake, including advanced features like Snowpark, SnowSQL, and Snowpipe. Proficient in leveraging ETL tools such as Talend, Informatica, DBT, and Matillion, and integrating systems like Amplitude and SFMC for comprehensive marketing insights. Programming and Analytics: Advanced proficiency in Python, utilizing libraries such as PySpark, NumPy, and pandas for data analysis and machine learning. Skilled in managing cloud environments and tools across GCP, Azure, and AWS, facilitating seamless data operations and scalability. Database and API Management: Expert in managing SQL Server, Oracle databases, and designing RESTful APIs, transitioning legacy systems to modern, scalable architectures. Work Contributions: Data Integration and Pipeline Design: Successfully designed and implemented data pipelines that collect, cleanse, and merge data from diverse sources, ensuring unified and analytics-ready datasets. My work includes setting up enterprise-level data fetching from platforms like Outlook, Google Ads, and LinkedIn, enhancing data accessibility and utility. Cloud Migration and Automation: Led the migration of data infrastructure from on-premises to cloud-native solutions, significantly reducing overhead and improving data agility. Automated data workflows using AWS services, optimizing operational efficiency and response times. API Development and System Upgrades: Transitioned from WCF SOAP-based services to modern REST APIs, improving system interoperability and performance. My approach focuses on thorough analysis and testing, ensuring robust implementations. Business Impact: Enhanced Data Utilization: My projects have consistently enabled deeper insights into customer behaviors and preferences, facilitating personalized marketing strategies that significantly boost return on investment. Operational Excellence and Growth: Through strategic migrations to cloud-native data systems and by optimizing data pipelines, I have empowered businesses to scale operations and explore new growth avenues effectively. These transformations have led to improved data handling capabilities and cost efficiencies. Strengthened Client Relationships: My focus on collaborative project execution and stakeholder engagement has helped organizations maintain and expand their client bases. By providing actionable insights and reliable data solutions, I have assisted companies in understanding and leveraging their data to outperform competition and achieve strategic goals. This blend of technical acumen, strategic implementation, and impactful results demonstrates my capability to deliver superior data engineering solutions that meet and exceed business needs. I am dedicated to bringing the same level of excellence and innovation to your projects, ensuring that your organizational objectives are achieved efficiently and effectively. Thanks.

  • SQL
  • Database
  • AWS Lambda
  • Database Management System
  • ETL Pipeline
  • Database Programming
  • Snowflake
  • Amazon S3
  • Analytics
  • MySQL
  • ETL
  • Amplitude
  • Customer Data Platform
Shipika J.

Indore, India

$40/hr
5.0
137 jobs

Hey! 😃 I'm a seasoned Web Tracking & Data Analytics Expert with over 8 years of solid expertise in: 🏆 Web Tracking: • Hands-on with Google Tag Manager and setting up accurate tags, triggers & custom events and conversions in GA4. • Implementing browser-side & server-side tracking via Stape / Google Cloud Platform to combat signal loss from ad blockers & browser restrictions for reliable & complete data. • Accurate conversion tracking using Pixel setup & Conversion API (CAPI) across Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Pinterest Ads, Snapchat Ads, etc. • Cookie consent banner implementation (CookieBot, OneTrust, etc.) ensuring the tracking is fully compliant with GDPR, CCPA & other privacy regulations. • Lead form submissions tracked & pushed directly into CRMs like HubSpot, Go High Level (GHL), Active Campaign, etc. 📊 Reporting & Data Warehousing: • Building insightful custom dashboards using Google Data Studio (formerly Looker Studio), Power BI, Tableau, QuickSight, Looker, Metabase & more with real-time marketing & website performance data. • Using ETL tools like Fivetran, Hevo, Stitch, Windsor, Supermetrics, etc. to build raw data warehouse in BigQuery, Redshift or Snowflake. • Leveraging advanced SQL and Python skills to perform complex data analysis on raw data including funnel analysis, path analysis, retention analysis, etc. 🎯 Google Ads Campaign Setup & Management: • Campaign creation, keyword strategy, ad copy & bidding optimization across Search, Display, Shopping & Performance Max. • Ongoing monitoring, A/B testing, reporting and performance tuning to lower CPA & maximize conversions. 🧰 Tech Stack: • Tracking: Google Tag Manager, GA4, Meta Pixel, TikTok Pixel, LinkedIn Insight Tag, Pinterest Tag, Stape, Google Cloud Platform, Google Ads, Conversion API, MS Clarity, Mixpanel • Consent Management: CookieBot, OneTrust • CRM: HubSpot, Salesforce, Zoho • Reporting: Google Data Studio (formerly Looker Studio), Metabase, QuickSight, Looker, Tableau, Power BI, Zoho Analytics, Databox, Agency Analytics • Data Warehouse: BigQuery, Redshift, Snowflake 💬 Let's Work Together If you need accurate tracking, better data, and dashboards that actually drive decisions, I'd love to help. Drop me a message and let's get started! ------ 🔎 Keywords: Google Tag Manager, GTM, Google Analytics 4, GA4, Server-Side Tracking, Stape, GCP, Conversion Tracking, Conversion API, CAPI, Meta Pixel, Facebook Pixel, TikTok Pixel, LinkedIn Insight Tag, Pinterest Tag, Google Ads, PPC, SEM, Performance Max, Shopping Ads, Cross-Domain Tracking, Cookie Consent, GDPR, CCPA, CookieBot, OneTrust, HubSpot, Salesforce, GHL, CRM Integration, Lead Tracking, E-commerce Tracking, Data Studio (formerly Looker Studio), Power BI, Tableau, BigQuery, Snowflake, Redshift, Data Warehousing, Web Analytics, Data Analytics, MS Clarity, Mixpanel, A/B Testing, ROAS, CPA Optimization

  • Data Visualization
  • Google Sheets
  • Supermetrics
  • SQL
  • Looker Studio
  • BigQuery
  • Google Tag Manager
  • Google Analytics
  • Tag Manager Setup
  • Ecommerce Purchase Tracking
  • Tracking Pixel
  • Marketing Analytics
  • Google Analytics 4
  • Fivetran
  • Amazon QuickSight
Priyanshu Y.

Indore, India

$22/hr
5.0
5 jobs

I’m a results driven Data Analyst with hands on experience in building end to end data solutions from data extraction and transformation to insightful visualization and reporting. I specialize in designing scalable ETL pipelines using BigQuery and Python, ensuring clean, reliable, and analysis ready data for decision making. On the data engineering side, I work extensively with ETL processes, extracting data from multiple sources such as APIs, databases, and marketing platforms, transforming it using SQL and Python, and loading it into data warehouses like BigQuery. I also work with tools like Airbyte for seamless data integration and Apache Airflow for workflow orchestration, scheduling, and automation of data pipelines. I focus on optimizing query performance, automating workflows, and maintaining high data accuracy. Analytics and Reporting Expertise: -Looker for advanced data modeling and scalable BI solutions -Looker Studio for interactive and client friendly dashboards -Power BI for business reporting and deep data visualization -Swydo for marketing performance reporting and client reporting automation -Databox for real time KPI tracking and business dashboards -Google Sheets and Excel for quick analysis and lightweight reporting -Other visualization and reporting tools as per business requirements I also bring strong expertise in tracking and analytics implementation. I have worked extensively with GA4, Google Tag Manager GTM, and Mixpanel, setting up event tracking, conversion tracking, funnels, user journey analysis, and debugging tracking issues to ensure accurate and reliable data collection. In Mixpanel, I help businesses with product analytics, event design, funnel optimization, retention analysis, and actionable user insights. Additionally, I work with various Looker Studio connectors including Supermetrics, BigQuery native connectors, and other third party integrations to unify data from platforms like Google Ads, Facebook Ads, Shopify, and CRM systems. I also have experience working with paid Looker Looker BI, including LookML modeling, building scalable data models, and creating enterprise level dashboards. I have worked with multiple clients across the US and UK, delivering data solutions tailored to different business needs, marketing strategies, and reporting requirements. What I can help you with: -End to end ETL pipeline development -BigQuery data warehousing and optimization -Data integration using Airbyte and API based pipelines -Workflow orchestration using Apache Airflow -Dashboard creation using Looker, Looker Studio, and Power BI -GA4, GTM, and Mixpanel tracking setup and audits Product and marketing analytics -Data integration using connectors like Supermetrics and APIs -Advanced reporting and business insights -I focus on delivering clear, actionable insights that help businesses grow and make smarter decisions.

  • ETL Pipeline
  • ETL
  • Data Analysis
  • Looker Studio
  • Microsoft Power BI
  • Data Visualization
  • Google Tag Manager
  • Google Analytics
  • Apache Airflow
  • Google Cloud Platform
  • AWS Development
  • Python
  • BigQuery
  • MySQL
  • Microsoft Power BI Data Visualization
Rameez R.

Indore, India

$16/hr
4.8
91 jobs

▸ Lead Sourcing & Enrichment Systems Clay tables with multi-provider waterfalls (Apollo, AI Ark, Prospeo, Hunter. Custom scrapers for sources Clay can't reach. Deduplication, normalization, and ICP scoring so your list is usable on day one — not after a week of manual cleanup. ▸ Outbound Infrastructure Domain + inbox setup, SPF/DKIM/DMARC, warmup, sending-limit logic, and sequence builds in Smartlead, Instantly, Apollo, Lemlist, or Outreach. Deliverability that survives past week three. ▸ AI Personalization at Scale Research agents that read a prospect's site, funding news, job postings, and tech stack — then write a first line that sounds like a human wrote it. Built with OpenAI/Claude APIs inside Clay or n8n. ▸ Workflow Automation n8n, Make, Zapier — and custom Node services when no-code hits its ceiling. Lead routing, CRM hygiene, enrichment triggers, Slack alerts, data syncs between tools that don't natively talk to each other. ▸ CRM & RevOps HubSpot and Salesforce: object modeling, pipeline stages, lifecycle automation, lead scoring, deduplication, and reporting dashboards that leadership actually opens. Migrations without losing history. STACK Data & Enrichment — Clay, Apollo, AI Ark, Prospeo LinkedIn Sales Navigator, Apify Outbound — Smartlead, Instantly, Lemlist, Outreach, HeyReach CRM — HubSpot, Salesforce, Pipedrive, Automation — Claude code, n8n, Make, Zapier AI — OpenAI, Anthropic Claude, Perplexity API, custom research agents Data — Supabase

  • Lead Generation
  • Marketing Automation
  • Sales & Marketing
  • API Integration
  • Automation
  • Data Scraping
  • Email Marketing
Rohit B.

Indore, India

$20/hr
5.0
13 jobs

⚡ Data pipelines breaking, slow, or too expensive? That’s exactly what I fix. I help companies turn messy, unreliable data systems into scalable, high-performance pipelines — so teams can actually trust their data and move faster. Over the past few years, I’ve built and optimized data platforms handling 50GB/day streams to 500GB+ processing workloads, across ecommerce, fintech, real estate, and SaaS. 🔑 What I Deliver (Real Outcomes, Not Just Tools) 🔹 Robust ETL/ELT Pipelines: Built on AWS Glue, Azure Data Factory, Databricks, Airflow → Designed for zero-failure execution & recovery-safe architecture 🔹 Cloud Data Warehousing: Redshift, Snowflake, BigQuery, Azure Synapse → Structured for fast queries, low cost, and scalable analytics 🔹 Real-Time & Batch Processing: PySpark, Kafka, Delta Lake → Handling millions of records daily with optimized latency 🔹 AI-Ready Data Foundations: → Clean, structured pipelines ready for ML models, LLMs, and BI tools. 🔹 Performance Optimization: → Reduced processing time by 50% on production workloads → Optimized queries & pipelines saving compute cost + runtime 🔹 Business Intelligence Layer: Power BI, Looker Studio → Dashboards that leadership teams actually use for decisions. 📦 Proven at Scale:- 🏪 Ecommerce Data Platform (1M+ stores | 500K customers): Built end-to-end ETL pipelines using AWS Glue Implemented incremental (delta) processing across multiple data sources Designed Redshift warehouse for high-volume analytics Delivered Power BI dashboards for business insights ✅ Enabled AI-driven personalization for 100K+ active users ✅ Reduced manual data dependency across teams 💳 FinTech / Freight Billing AI Platform: Designed data infrastructure for AP/AR automation Integrated ERP + TMS systems via APIs Built real-time dashboards + audit tracking ✅ Improved financial visibility & reconciliation accuracy ✅ Enabled automated decision-making for cash flow optimization 🏠 Real Estate Data Intelligence Platform: Built pipelines ingesting: Zillow Realtor HUD Census Crime datasets Centralized into PostgreSQL + Azure Data Warehouse ✅ Computed ROI, NOI, Cap Rate, Cash Flow at scale ✅ Enabled investment decision analytics 📊 Retail Location Intelligence (Databricks / Snowflake): Processed ~500GB mobile location data Built anomaly detection using moving averages ✅ Automated detection of: data drops duplicates false entries 🔧 Logistics Optimization (Azure): Replaced upsert with SQL MERGE ✅ Reduced processing time by 50% ✅ Achieved zero data loss in production pipelines 📡 Wellness Data Platform: Consolidated fragmented APIs into unified pipelines ✅ Fixed data failures on 250MB+ tables (~1GB compute load) ✅ Improved data consistency and pipeline reliability

  • Data Analytics
  • Python
  • Data Analysis
  • Modeling
  • ETL Pipeline
  • ETL
  • Data Scraping
  • Scrapy
  • NLTK
  • pandas
  • html2text
  • Selenium WebDriver
  • Data Mining
  • Beautiful Soup
  • Data Analytics & Visualization Software

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