Hire the Best MapReduce Specialists

I help businesses build reliable data pipelines, cloud infrastructure, and backend systems that scale. My core work includes Azure Data Factory pipelines, SQL data warehousing, Snowflakes, Terraform-based infrastructure, AWS/Azure deployments, and backend integrations for data-heavy applications. I focus on production-ready systems that are stable, observable, and built for real business use. I have worked on projects such as: • Building Azure-based ETL pipelines and warehouse processes integrating platforms like Shopify, NetSuite, UKG, Air1, and custom systems • Processing large daily data volumes with incremental and full-sync strategies • Designing SQL procedures, reconciliation workflows, and reporting pipelines for operational and executive dashboards • Automating cloud infrastructure and deployments using Terraform, AWS, Jenkins, Docker, and Kubernetes • Improving performance, reliability, and cost-efficiency in backend and AI-driven systems What I can help with: • ETL / ELT pipelines • Azure Data Factory workflows • Azure SQL / PostgreSQL / SQL optimization • Data warehouse design • Backend API integrations • Terraform infrastructure automation • AWS / Azure deployment workflows • Monitoring, logging, and production reliability improvements Why clients work with me: • I understand both data and backend systems, so I can solve integration problems end-to-end • I care about business outcomes, not just writing code • I communicate clearly and keep delivery practical • I build with maintainability and production use in mind If you need help with a data pipeline, warehouse workflow, backend integration, or cloud infrastructure setup, I’d be glad to discuss your project. Certifications: AWS Certified Solutions Architect HashiCorp Terraform Associate

Messy data slowing your team down? I build scalable ETL/ELT pipelines and modern cloud architectures on Azure, Databricks, Fabric, and Snowflake that turn raw, chaotic data into clean, analytics-ready systems fast and reliably. I bridge the gap between fragmented data sources and production-grade dashboards, seamlessly adapting to your existing infrastructure rather than forcing an expensive rebuild. What I Can Help You With: Data Warehouse & Lakehouse Architecture: Implementing Medallion design patterns (Bronze → Silver → Gold) using Delta Lake, Microsoft Fabric OneLake, and Snowflake. Scalable ETL/ELT Ingestion: Building automated, metadata-driven pipelines via Azure Data Factory, Fabric Pipelines, Databricks (PySpark/SQL), and dbt. Real-Time Data Streaming: Architecting low-latency workflows using Apache Kafka, Azure Event Hubs, and streaming engines. Database Design & Optimization: Performance tuning, indexing, and data modeling for PostgreSQL, Azure SQL, and cloud warehouses. Proven Project Highlights: Microsoft Fabric Incremental Pipeline: Built a control-table pattern using Get Metadata, Lookup, and ForEach loops to orchestrate zero-duplicate, quarterly ingestion from SharePoint into OneLake via Dataflow Gen2. Azure/Databricks Streaming: Developed a restaurant analytics platform processing 80,000+ events/day, cutting reporting lag from 6 hours to under 3 minutes. Kafka/Snowflake Pipeline: Engineered a real-time stock market data pipeline tracking 120+ tickers with under 8 seconds end-to-end latency. I write clean, documented code your team can maintain long-term and provide transparent daily updates. Message me with your data challenge and I’ll walk you through exactly how to solve it.

✅ Top Rated Plus | 100% JSS | 4x Certified (AWS SA Pro, GCP Pro Architect, Snowflake) | BITS Pilani MTech Data Science | Full Stack Developer & Data Engineer | React, Python, Node.js, Spark | $20K+ earned | 1,845+ hours I build full-stack web applications and data engineering systems that go to production, not to demo day. SaaS MVPs, Spark-based ETL pipelines, cloud architecture on AWS and GCP, I handle both the application layer and the data infrastructure behind it. 🔹 Full-Stack SaaS & Web Application Development React, Next.js, Node.js, and Python backends for SaaS platforms, dashboards, internal tools, and customer-facing apps. MVP to production on AWS/GCP with CI/CD, automated testing, and monitoring from day one. 19 Upwork contracts delivered with structured milestones. 🔹 Data Engineering & ETL Pipeline Architecture End-to-end data pipeline design with Apache Spark, PySpark, Scala, Snowflake, and Airflow. Batch and streaming ETL processing millions of records per run. Data lake architecture, warehouse modeling, analytics-ready output layers. 8+ years building production Spark + Cassandra systems at enterprise scale. 🔹 Cloud Architecture & Infrastructure (AWS + GCP) 4 cloud architecture projects on Upwork, all rated 5.0. $2,300 CloudStack design. AWS architecture advisory. EC2, Lambda, S3, RDS, EMR, Redshift on AWS. BigQuery, Dataflow, Cloud Functions on GCP. Terraform for IaC, Docker and Kubernetes for orchestration, zero-downtime deployments. 🔹 API Development & Backend Systems REST API and GraphQL backends with Node.js, NestJS, FastAPI, and Django. Microservices, Redis caching, WebSocket integrations, Stripe payment APIs, OAuth/JWT authentication. Backend services handling concurrent users at production scale. 🔹 Database Design & Data Modeling PostgreSQL, MongoDB, MySQL, Cassandra, DynamoDB, Redis. Schema design, query tuning, indexing, partitioning. Star and snowflake schemas, slowly changing dimensions, SQL optimization for analytics. Architecture decisions balancing performance, throughput, and cost. 🔹 AI Integration & Intelligent Applications OpenAI API, Hugging Face, NLP pipelines, chatbot systems, text extraction and summarization. Delivered NLP processing on Upwork. AI-powered features built into SaaS products as production features, not standalone experiments. 🔹 Real-Time Processing & Event-Driven Systems Kafka for event-driven architectures, change data capture, WebSocket dashboards, streaming pipelines for near-real-time analytics. Application events connected to data warehouse layers. 🔹 Frontend Performance & TypeScript Engineering React and Next.js with SSR/SSG for SEO-friendly rendering. TypeScript full stack. Core Web Vitals optimization, Tailwind CSS, responsive design. Fast-loading frontends that rank and convert. 🔹 DevOps, CI/CD & Production Systems Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI. Serverless with AWS Lambda and GCP Cloud Functions. Monitoring, logging, alerting for production. Zero-downtime deployment strategies. 🔹 Technical Consulting & Architecture Advisory TypeScript and AWS Lambda tutor on Upwork, rated 5.0 over 13 hours. Cloud migration advisory, system design review, code audits, performance optimization, engineering mentorship. 📊 AWS Solutions Architect Professional + Associate (Dec 2026) | GCP Pro Cloud Architect (Jul 2026) | Snowflake Core (Jan 2026) 📊 MTech Data Science, BITS Pilani, ranked top 5 engineering institutions in India 📊 19 contracts, 100% JSS, Top Rated Plus, 1,845+ hours tracked, $20K+ earned 📊 "Jay's expertise brought the architecture design to life in ways I hadn't imagined" (5.0 rated) 📊 8+ years: React, Node.js, Python, Java, Scala across SaaS, healthcare, fintech, enterprise → Day 1: Requirements call + architecture proposal with tech stack rationale → Week 1: Sprint development, daily Loom/Slack updates, working code shipped → Ongoing: Weekly demos, priority reviews, transparent tracking, full documentation → Delivery: Documented code, CI/CD configured, deployment guide, 2-week post-launch support Full Stack: React, Next.js, Node.js, NestJS, Express, TypeScript, JavaScript, Python, FastAPI, Django Data: Apache Spark, PySpark, Scala, Snowflake, Airflow, Kafka, ETL, dbt, SQL, BigQuery Cloud: AWS (Lambda, EC2, S3, RDS, EMR, Redshift), GCP (BigQuery, Dataflow), Docker, Kubernetes, Terraform DB: PostgreSQL, MongoDB, MySQL, Redis, Cassandra, DynamoDB, Supabase AI: OpenAI API, Hugging Face, NLP, LLM Integration, TensorFlow, PyTorch 💬 Message me with your project scope or data challenge. I respond within 4 hours with a free assessment and can start within 48 hours.

🚀 I help businesses turn messy, scattered data into clean, automated, decision-ready systems. ⚡ 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐂𝐥𝐨𝐮𝐝 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 | 🏆𝟖𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 | 📊𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐄𝐓𝐋 & 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 I help startups and growing companies turn scattered, unreliable data into automated, decision-ready systems. From building production-grade ETL pipelines to deploying Power BI dashboards used by executives, I deliver data platforms that are scalable, secure, and cost-efficient. With 𝟒+ years of professional experience and 𝟖𝟎+ successful data projects, I specialize in making data fast, accurate and business-ready. ⚡ 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ◼ End-to-End ETL / ELT Pipelines (Airflow, Azure Data Factory, Databricks) ◼ Cloud Data Warehousing & Lakehouse Architecture ◼ Big Data Processing with PySpark & SQL ◼ Database Design, Modeling & Performance Optimization ◼ Data Migration & System Integration (APIs, Legacy Systems, SaaS Tools) ◼ Power BI Dashboards & Analytics Automation 🤝 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐃𝐨 𝐟𝐨𝐫 𝐘𝐨𝐮 ◼Build automated ETL/ELT pipelines (Airflow, ADF, Databricks, AWS Glue) ◼Create cloud data warehouses & lakehouses (Snowflake, Redshift, BigQuery, Synapse) ◼Develop Power BI dashboards & data models used by executives ◼Integrate data from APIs, SaaS tools & legacy systems ◼Improve data quality, performance & reporting speed ◼Migrate on-premise systems to AWS, Azure, or GCP 💬 Smarter data. Faster decisions. Higher ROI. Let’s build pipelines that actually power your growth. 🔑 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 #DataEngineer #Azure #Databricks #ApacheAirflow #ETLPipelines #BigData #PySpark #SQL #PowerBI #DataMigration #DataIntegration #DataWarehousing #CloudDataEngineering #BusinessIntelligence #DatabaseDesign

Just shoot me a DM, and I’ll get back to you right away! 𝐂𝐨𝐫𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐒𝐭𝐚𝐜𝐤: ➔ Databases & Warehousing → BigQuery, Snowflake, Redshift, PostgreSQL, MySQL ➔ Data Engineering → Extract, Transform Pipelines, Data Warehousing, Orchestration, Databases ➔ Cloud & DevOps → GCP, AWS, Azure, Docker, Kubernetes, Terraform ➔ Orchestration & Transformation → Python, Cloud, Lambda Functions, Airflow, dbt, PySpark, ➔ BI & Analytics → Metabase, Looker Studio, Tableau, Power BI, Qlik Sense, Plotly ➔ Programming & Automation → Python, SQL, REST APIs, Cloud Functions 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡: — Designing scalable data architectures and cloud-native data platforms — Building end-to-end ETL/ELT pipelines using Python, SQL, Airflow, and dbt — Migrating on-prem data to modern data warehouses like BigQuery or Snowflake — Developing real-time data streaming pipelines using Kafka and PySpark — Creating interactive dashboards for BI, analytics, and performance monitoring — Optimizing databases for faster queries, better storage, and reduced cost — Setting up CI/CD pipelines and automated deployments for data workflows 𝐘𝐨𝐮’𝐥𝐥 𝐠𝐞𝐭: 👉 Clean, scalable, and production-grade data pipelines & dashboards 👉 Transparent communication — regular updates, clear timelines, zero surprises 👉 On-time, on-budget delivery — 95%+ success rate with global clients 👉 A product-first approach — focusing on business outcomes, not just code 👉 Clear YES/NO on feasibility before work begins 𝐍𝐨𝐭 𝐚 𝐟𝐢𝐭 𝐢𝐟: ❌ You prioritize cost over long-term scalability ❌ You expect unrealistic turnaround times ❌ Clear communication and mutual respect aren’t important Just shoot me a DM, and I’ll get back to you right away to discuss your project needs. Together, we can set up a quick call to explore how I can help you achieve your goals efficiently and effectively.

Hands on Data architect & Lead data engineer, with 12+ years of experience in designing & building end to end high velocity, high volume peta byte real time & batch data platforms from scratch on clouds & on-prem. Kubernetes native development from the beginnig. I develop distributed & scalable back-end systems using using languages like goLang, Rust & python. Lately Started working on integration of AI, RAG, MCP Servers & MLops Platforms into data platforms. Developed self hosted llms applications using Ollama and llm observability using langfuse. Mordenize existing data platforms with AI first approach. Hybrid semantic mapping layers or unstructured and structured data using heuristics, memory and LLMs. Built & worked on peta byte scale streaming, batch data & AI platforms in top companies. An open source contributor to data technologies & products like Airbyte etc. Love working on database internals, performance and optimizations. I have experience working with telemetry data, payments data, video data, sports data, eCommerce data & affiliate marketing data, logs data, clickstream data. Skill Set: Big Data Technologies: Spark, Kafka, Flink, Presto, Dremio, Hudi, Deltalake Data warehouses: Snowflake, Druid, Clickhouse, Redshift, SingleStore(Memsql), Quest Databases: Postgres, Mysql, Cassandra, DynamoDB, DuckDB Programming languages: Golang, Python, Rust, Scala, Java Visualization: Tableau, Apache Superset, Zoomdata Data Technologies - Airbyte, Fivetran, Dagster, Airflow, Nifi, Kubeflow, ElasticSearch, OpenSearch Platforms: Databricks, Snowflake, Cloudera, Supabase, Aiven Ops: Kubernetes, Docker Cloud: AWS, GCP, Azure