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I help businesses build scalable data pipelines, backend systems, cloud applications, and AI-powered solutions that are designed to work reliably in production. I’m a Platform Lead and software engineer with hands-on experience building high-throughput data platforms, backend services, cloud infrastructure, and modern AI applications. I work across Python, Java, Node.js, AWS, Kafka, Spark, Databricks, Kubernetes, and AI/LLM technologies. I also built SolutionGigs, my own technology platform where I build and launch practical web tools, applications, content, and developer-focused solutions. Building my own product has given me experience across the complete lifecycle — architecture, development, cloud deployment, performance optimization, troubleshooting, and continuous improvement. What I can help you with 🚀 Data Engineering & ETL — PySpark, Kafka, AWS, Databricks, Spark 🔧 Application Troubleshooting — Debugging, performance issues, API failures, deployment problems 🏗️ Backend Development — Python, Java, Node.js, REST APIs ☁️ AWS & Cloud — S3, Lambda, Kinesis, EMR, Glue, cloud architecture ⚡ Real-Time Data Processing — Kafka, Spark Streaming, Kinesis 🤖 AI & LLM Applications — GPT, Claude, RAG, LangChain, AI-powered workflows 🌐 Full-Stack Applications — Building and deploying production-ready web applications 📈 Performance Optimization — Improving scalability, latency, reliability, and infrastructure efficiency Some of my experience Built data pipelines processing 10M+ events per day Worked on high-throughput real-time streaming systems Improved production data latency by 35% Built and deployed AI/LLM-powered workflows Designed cloud-based data platforms using AWS, Spark, Kafka and Databricks Built SolutionGigs as an independent product from the ground up Led engineers in delivering enterprise-grade platforms My approach is simple: understand the problem first, identify the root cause, and deliver a clean, scalable solution. Whether you need to fix an existing application, build a backend, optimize a data pipeline, integrate AI, or develop a complete cloud-based solution, I can help take it from idea or problem to a working production solution.

✵I was contributing in Cisco's project as a senior software developer. ✵I’m a developer with experience in building website's backend for small, medium and large scaled sized businesses. Whether you’re trying to win work, list your services or even create a whole online store, cloud or backend with complex logic with distribution system, I can help! ✵I’m experienced in Golang, Scala, Docker, Kubernetes, CI/CD, AWS, Openshift and Akka. ✵I'm expert in to handle and process large scale of data GB's ✵I've knowledge of python as well. ✵I’ll fully manage your project for the duration. Regular communication is really important to me, so let’s keep in touch!” Also, It's important for me to build excellent long-term relationships with clients, so I'm primarily looking for long-term projects. I look forward to hearing from you!

Optimistic, forward-looking software developer with 3+ years' background in creating and executing innovative software solutions. I have worked on Data Science, Big Data, and have experience to handle a huge amount of data. - I'm experienced in Python, Pandas, Scikit learn. - I'm experienced in Spark, Scala, Hive, HDFS. - I'm experienced in Docker and Kubernetes. - I have a good data handling skill. - Design before Code, Always!

✅ 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.

🚀 Data Engineer & Solution Architect | Scaling Data Platforms 10× Without Breaking Them I design data systems that don’t just run, they scale, perform, and stay reliable under real-world pressure. With 7+ years building enterprise-grade platforms, I’ve seen the same story repeat: A pipeline works at 10M records… then collapses at 100M. Costs spiral. Latency explodes. Nobody wants to touch the legacy system. That’s where I come in. 🧠 What I Actually Deliver I architect cloud-native data platforms built for tomorrow not quick fixes for today. ✔ Migrate fragile legacy systems to modern, resilient architectures ✔ Design scalable data lakes and lakehouses ✔ Optimize pipelines bleeding money and compute ✔ Build real-time analytics for mission-critical decisions ✔ Create foundations ready for AI/ML workloads Result: Systems that grow with your business instead of holding it back. ⚙️ Deep Technical Expertise Across the Stack ☁️ Cloud Platforms AWS: Glue, EMR, Redshift, Kinesis, S3, Lambda, Lake Formation, DMS, MSK, RDS Azure: Data Factory, Synapse, Databricks, DevOps GCP: Dataflow, Cloud Functions, Cloud Storage 🔥 Big Data & Streaming Apache Spark (Scala & PySpark) • Kafka • Kinesis • NiFi • Hadoop Ecosystem • Airflow • Delta Lake 💻 Programming Python • Scala • SQL • Shell • Java 🗄️ Databases & Storage PostgreSQL • MySQL • Oracle • SQL Server • MongoDB • Cassandra • DynamoDB • Elasticsearch 🛠️ DevOps & Infrastructure Docker • Kubernetes • OpenShift • Terraform • Jenkins • Ansible • Git 📊 Observability & Governance CloudWatch • ELK • Grafana • Athena IAM • Lake Formation • Encryption • Audit Logging • Okta • Cognito 🏢 Enterprise Experience That Matters I’ve delivered production systems for Fortune 500 organizations across finance, energy, hospitality, and SaaS handling hundreds of millions of records daily. From ingestion → transformation → real-time analytics → security → DevOps automation — I design the full lifecycle. 🏆 Proven Impact ✔ Re-architected legacy pipelines → 5× performance boost & 60% cost reduction ✔ Built event-driven systems processing 500M+ records/day ✔ Delivered secure data lakes with row-level governance ✔ Reduced MTTR by 70% with end-to-end observability ✔ Led zero-downtime cloud migrations ✔ Secured $2B+ transaction data with encryption platforms 🤝 Best Fit For Organizations That Need 🔹 Cloud migration with strong architectural guidance 🔹 Performance or scalability bottlenecks 🔹 Data platforms for AI/ML initiatives 🔹 Multi-cloud or hybrid strategies 🔹 Long-term reliability over quick hacks ⚠️ Not a Fit For ❌ One-off scripts or basic SQL tasks ❌ Temporary data cleanup work ❌ Short-term patch solutions I focus where architecture decisions create lasting business value. 💬 What Clients Value Most Clear thinking on complex problems Communication executives understand Engineering teams trust Systems built to last 👉 If your data platform needs to scale, stabilize, or modernize then let’s talk.

Helping companies build scalable, reliable, and cost-efficient data platforms. I'm a Principal Data Engineer with 11+ years of experience designing and implementing modern data engineering solutions for startups, fintech companies, healthcare organizations, and enterprise businesses. I've helped organizations migrate legacy systems, build cloud-native data platforms, optimize processing costs, and deliver production-ready analytics pipelines. My expertise includes designing end-to-end data architectures, building batch and streaming pipelines, implementing Data Lakes and Lakehouses, and automating infrastructure using Infrastructure as Code. What I can help you with ✔ Databricks Development & Optimization ✔ Apache Spark (PySpark & Scala) ✔ Azure Data Factory (ADF) ✔ Azure Data Lake Storage (ADLS) ✔ Delta Lake & Delta Live Tables ✔ AWS (EMR, Glue, Athena, Lambda, S3) ✔ Data Warehouse Design ✔ ETL / ELT Pipelines ✔ Data Migration ✔ Data Modeling ✔ Terraform & Infrastructure Automation ✔ SQL Performance Optimization ✔ Python Development ✔ CI/CD for Data Platforms ✔ Airflow Workflow Automation ✔ AI-powered Workflow Automation (Cursor, Claude, MCP, n8n) Recent accomplishments • Reduced operational costs by 90% by redesigning SCD implementation using Delta Live Tables. • Led the architecture and delivery of financial products including Loans and Credit Cards. • Migrated enterprise data warehouses to cloud-native lakehouse architecture. • Built scalable reconciliation frameworks using Databricks and Airflow. • Implemented Terraform-managed Databricks infrastructure for improved governance and scalability. • Designed enterprise-grade data platforms for healthcare, fintech, and retail organizations. My Skills Sets are: SQL, Apache Spark, Hive, Hadoop, Excel, Shell Scripting, AWS EMR, Ec2, S3, cloud formation, Clojure, MongoDB MySQL, Airflow.