Hire the Best Apache Cassandra Developers
in India

✨ Seasoned software professional with 20+ years of experience in end-to-end software development, including 8+ years specializing in Big Data technologies and cloud-based solutions. Proven expertise in building scalable, high-performance data platforms using Apache Spark, Hadoop, Hive, Cassandra, and programming in Scala, Python, Java and C++. ✨ I focus on designing robust, enterprise-grade Big Data and Data Engineering architectures on GCP, AWS, and Azure, both in on-prem and cloud environments. My role involves solution architecture, technical leadership, and hands-on development of critical components. ✨ I am passionate about leveraging my experience to build cutting-edge data and AI solutions. Open to senior technical roles, consulting opportunities, and innovative startup environments. 🔹 Keen eye on scalability, sustainability of the solution 🔹 Can come up with maintainable & good object-oriented designs quickly 🔹 Highly experienced in seamlessly working with remote teams effectively 🔹 Aptitude for recognizing business requirements and solving the root cause of the problem 🔹 Can quickly learn new technologies 🔹 Transparency, Dedication, Qualtity and Satisfaction Guaranteed Sound experience in following technology stacks: ✨ Big Data: Apache Spark, Spark Streaming, HDFS, Hadoop MR, Hive, Apache Kafka, Cassandra, Google Cloud Platform (Dataproc, Cloud storage, Cloud Function, Datastore/Firestore, Pub/Sub), Cloudera Hadoop 5.x ✨ Languages: Scala, Python, Java, C++, C, Scala with Akka and Play frameworks ✨ Build Tools: Sbt, Maven ✨ Databases: Postgres, Oracle, MongoDB/CosmosDB ✨ GCP Services: GCS, DataProc, Cloud functions, Pub/Sub, Data-store, BigQuery ✨ AWS Services: S3, VM, VM Auto-scaling Group, EMR, S3 Java APIs, Redshift, MongoDB ✨ Azure Services: Blob, VM, VM scale-set, Blob Java APIs, Synapse, CosmosDB ✨ Other Tools/Technologies: Kubernetes, Dockerization, Terraform Worked with different types of Input & Storage formats: CSV, XML, JSON file, Mongodb, Parquet, ORC

🙋 Hi! I'm Satwinder Thind, a Full-stack Mobile and Website developer with a rich 10-year track record in crafting exceptional web and mobile solutions for clients worldwide. I've excelled in diverse industries, including Social Media, Marketplace E-commerce, Online Delivery, AI Chatbots, Fitness, Medical, Booking & Scheduling, On-demand Services, IoT, and Fintech. ➛ Expertise Snapshot: ------------------------------- • Expert in working and integrating AI tools such as Deepseek, ChatGPT & OpenAI • Knowledge of working with No-code platforms/ Low-code platforms such as Replit, n8n, Bubble.io, Make.com • Proficient in UI layout designing and UX fundamentals • Hands-on experience with Core Frameworks of Android/iPhone SDK and 3rd party SDKs and APIs such as Google Map, Google Analytics, PayPal, Stripe, Facebook login, Razorpay, Twilio, DocuSign, Socket.io, WebRTC etc. • Expertise in Push Notifications, Map, Payment Gateways, Analytics, and Ads • Familiarity with MVC/MVVM patterns, Agile/Scrum Development Methodology, and Git Operations Frontend:- • Mobile App: Flutter/ React Native / Kotlin / SwiftUI/ Objective C / Swift • Web: ReactJS / AngularJS / Node JS / VueJS / MEAN • IDE: Android Studio / XCode / Eclipse • Design: Figma/ Sketch/ Adobe / Wireframes Backend :- • Python/ PHP/ Laravel/ Django / NodeJS/ ExpressJS • Databases: NoSQL / MongoDB / SQLite / Apache Cassandra / PostgreSQL / MySQL/ AWS/ Firebase ➛ Why Choose Me: ---------------------------- • Committed to deliver top-notch solutions swiftly and efficiently, even under pressure and tight deadlines. • Available 24/7 for seamless communication. • Open to online interviews to showcase my suitability for your project. ➛ Let's connect to hear about your requirements. Contact me, and I'll invest my expertise and dedication to ensure your desired results are met. 👍 Your success is my priority. 🙏 Thank you in advance for thinking of me. I value work relationships and will be grateful to work with you!

✅ 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.

7+ years building production software that ships fast and scales — backend APIs, modern web apps, and AI-powered features clients actually rely on. Top Rated on Upwork with a 100% Job Success Score and clients who come back for the next project. I help startups and growing businesses turn ideas into working, reliable software — whether that's a Django REST API, a Next.js dashboard, or an AI chatbot that understands your customers. On one project, the client expected *months* of work and had a working prototype within a week — that's the pace and ownership I bring every time. 🐍 Backend Development - Python & Django / Django REST Framework — 200+ API services built - Microservices, JWT auth, API gateways, performance optimization - Databases & search: PostgreSQL, MySQL, MongoDB, Cassandra, Redis, Elasticsearch - Queues & caching: Apache Kafka, RabbitMQ, Redis - Data & scraping: Scrapy, NumPy 🤖 AI & LLM Development - Conversational AI chatbots with natural, human-like responses - RAG (Retrieval-Augmented Generation) pipelines grounded in your own data - LangChain workflows for efficient, secure data processing - LLM integration with OpenAI and Mistral AI ⚛️ Frontend Development - Next.js, React.js, TypeScript, JavaScript - Real-time dashboards, e-commerce platforms, fintech/banking UIs - Tailwind, Material UI, Chakra UI, Ant Design, Bootstrap - Redux, Context API, Axios, charts, PWA & web performance optimization ☁️ DevOps & Cloud - AWS (S3, EC2, Cognito, Route 53, Lightsail), Microsoft Azure, DigitalOcean - Docker, Git, server setup, deployment & hosting Why clients keep working with me: - ⚡ Fast delivery — working prototypes in days, not months - 🧠 Strong technically *and* business-aware — I suggest the right solution, not just code - 💬 Clear, responsive communication (avg. response under 4 hours) - ✅ Reliable, detail-oriented, and committed to quality from day one Whether you need a full product built end-to-end, a backend API, an AI/chatbot feature, or an experienced developer to join your team — let's talk. 📩 Send me a message with a bit about your project, and I'll reply with honest, practical input on how to make it happen.

I'm a Senior Data Engineer with 8+ years of strong technical expertise in building reliable and scalable data infrastructure, from data ingestion to transformation to warehousing, streaming, and data analytics, specializing in dbt, Snowflake, Airflow, Databricks (and more) across AWS, Azure, and GCP, with robust ELT and ETL pipelines. If your data pipelines are brittle, your data warehouse is slow, or your data was never built to scale, that is exactly what I fix, with fault tolerance, observability, and audit-ready quality engineered in from day one. I cover the full data engineering lifecycle: batch and real-time data pipelines, Modern Data Stack builds, lakehouse architecture, cloud and warehouse data migration, governance, and the data foundations that feed modern systems. 🎯 Core Expertise: ✅ Data Pipelines & Orchestration: End-to-end batch and real-time pipelines with Apache Airflow, Dagster, Prefect, AWS Step Functions, and Azure Data Factory. Idempotent, schema-drift tolerant, and monitored so failures surface before they reach your stakeholders. ✅ Cloud Warehousing & Lakehouse: Snowflake, BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric, with Delta Lake and Apache Iceberg lakehouse foundations governed through the Glue Data Catalog and Lake Formation, with Athena and Redshift Spectrum for serverless queries, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark on EMR and AWS Glue, Star Schema and dimensional modeling, analytics engineering best practices, full test coverage, and CI/CD for data models. ✅ Streaming & Real-Time Analytics: Distributed streaming with Apache Kafka, Flink, Spark Structured Streaming, Kinesis, and Pub/Sub, including exactly-once semantics, dead-letter queues, CDC, and end-to-end latency guarantees. ✅ Data Ingestion & Integration: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, and custom CDC pipelines for near-real-time sync across structured, semi-structured, and unstructured sources. ✅ Data Quality, Governance & Observability: Automated data quality frameworks, SLA monitoring, auditable lineage, data catalog and metadata management, and observability that catches bad data early. ✅ Cloud Migration & Modernization: Zero-downtime migration handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime, replacing brittle ETL and ELT with a clean Modern Data Stack. ✅ AI-Ready Data Infrastructure: Pipelines engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ------------------------------------------------------ ⚙️Tech Stack: ⚡ Warehouses & Lakehouse: Snowflake | BigQuery | Redshift | Databricks | Microsoft Fabric | Athena | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | AWS Glue | EMR | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow (GCP Cloud Composer and AWS MWAA) | Dagster | Prefect | Azure Data Factory | Step Functions ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Governance & Catalog: Glue Data Catalog | Lake Formation | Unity Catalog | Microsoft Purview | Dataplex ⚡ Cloud: AWS | GCP | Azure ⚡ Languages: Python | SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) | FastAPI ⚡ Databases: PostgreSQL | MySQL | SQL Server | DynamoDB | MongoDB ⚡ BI & Reporting: Looker | Tableau | Power BI | GA4 | Metabase | Superset | Streamlit | Grafana ------------------------------------------------------ ⭐ What Clients Say: 🏅 "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS 🏅 "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm 🏅 "Clean architecture, solid dbt models, and Airflow pipelines running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup 🏅 "We came to him with a Spark pipeline costing us a fortune and delivering stale data. He restructured the workflow logic and cut processing time by 70%." – Leo, Head of Analytics, HealthTech SaaS ------------------------------------------------------ 🏆 TOP RATED PLUS | EXPERT-VETTED | Top 1% on Upwork | 8+ Years Experience | 100% Job Success 🚀 Ready to build a scalable, production-ready data infrastructure to turn your raw data into reliable, actionable business insights? Click the 'Invite to Job' button on the top right, and let's discuss your data pipeline!

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