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I am a seasoned Backend Engineer renowned for crafting well-structured, maintainable, and high-performance code. My primary domain of expertise lies in Go, though I possess a wealth of experience across various programming languages, including Rust, Python, and Node.js. I specialize in the development of microservices and excel in leveraging cutting-edge technologies for their seamless deployment. My professional repertoire encompasses a wide array of skills: * Backend Frameworks: I have demonstrated proficiency in Go and Rust, along with expertise in Solidity, and Flask. * API Proficiency: I am well-versed in building APIs, be it REST, gRPC, or WebSocket, ensuring seamless communication between software components. * Database Mastery: My expertise extends to working with databases such as MySQL, MongoDB, DynamoDB, and Datastore, facilitating efficient data management. * Messaging Expertise: I have hands-on experience with messaging systems like SQS, SNS, Pub/Sub, Nats, and Kafka, enabling real-time data exchange and event-driven architectures. * Test-Driven Development: I employ best practices in Test-Driven Development (TDD) to ensure the robustness and reliability of code. * Hosting Solutions: My proficiency in cloud platforms such as AWS, GCP, and Azure allows for the seamless deployment and scalability of your projects. Additionally, I am well-versed in orchestration and containerization technologies, including Helm, Kubernetes, and Docker, which enables me to manage your projects comprehensively, from development through to deployment. My unwavering commitment revolves around delivering top-notch, quality-driven solutions to my clients, with a strong emphasis on cultivating enduring, long-term business relationships.

When your backend is breaking under load, your microservices are drifting, or your APIs aren't talking to each other, I'm the engineer who fixes it without breaking everything else. I build and maintain production-grade systems using Java Spring Boot, React, Node.js, and cloud-native infrastructure. My work runs at scale: Microservices handling 20,000+ concurrent users (Spring Boot + Kafka + Kubernetes) REST APIs serving 50,000+ monthly users with clean contracts and error handling CI/CD pipelines on GitHub Actions and Jenkins with automated test gates AWS deployments (EC2, EKS, ECR, ALB) with zero-downtime rolling releases Elasticsearch integration cutting search response times from 800ms to under 200ms OAuth 2.0 + TLS security reducing vulnerability incidents by 70% What I help with: Java Spring Boot microservices, build, fix, optimize React frontend connected to backend APIs Kafka event-driven architecture Docker + Kubernetes deployments AWS cloud infrastructure CI/CD pipeline setup and maintenance API integration and debugging 100% Job Success · Rising Talent · 0-4hr response time If your system is slow, broken, or needs scaling, message me and I'll tell you exactly what's wrong.

Hello, I am an experienced Full-Stack Developer with over 12 years in the software industry. Throughout my career, I have contributed to projects across a diverse range of industries, including E-commerce, Wellness & Fitness, EdTech, Social Media, Hospitality, Retail, Fintech, Media & Entertainment, and Refineries, among others. Here’s a brief overview of my expertise: 🔹 Backend Development: Java, Spring Boot, JPA, Spring Security, Batch Processing, REST APIs, Microservices Architecture. 🔹 Frontend Development: HTML5, CSS3, JavaScript, Angular, React.js. 🔹 Databases: PostgreSQL, MySQL, Derby, MongoDB, DynamoDB. 🔹 AWS & Cloud Services: EC2, VPC, RDS, S3, Elastic Beanstalk, Cognito, SES, CloudFormation, ECS, ELB. 🔹 Virtualization & DevOps: Docker, Docker Compose, CI/CD Pipelines, Jenkins, CircleCI, CodePipeline, Codemagic. 🔹 AI/ML & Intelligent Systems: - Generative AI Integration - OpenAI APIs / LLM Integration - AI Chatbot Development - Machine Learning Model Integration - Prompt Engineering - AI-powered Automation Solutions - NLP (Natural Language Processing) - Python for AI/ML Workflows 🔹 Development Practices: Agile Methodologies, System Design, Scalable Architecture, Performance Optimization, Secure Application Development. 📱 Full Stack Developer 🌐 Backend Developer 💻 Frontend Developer ✅ On Time Delivery ✅ Quick Response ✅ Always Online ✅ Quality Work ✅ Client Satisfaction I have had the privilege of working on a variety of solutions and am comfortable handling both existing and new projects. I have had the opportunity to assist numerous clients in achieving their business goals, and I would be delighted to support you in the same way. Thank you for taking the time to visit my profile. Feel free to reach out—whether you’d like to discuss a project, share ideas, or simply connect. I would be delighted to collaborate and explore how I can support your initiatives. Feel free to 𝗗𝗠 𝗺𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 to your project on Upwork.

I’m a Senior Full Stack Developer with 10+ years of experience building scalable SaaS platforms, AI-enabled systems, and cross-platform desktop applications. I specialize in taking products from idea → MVP → production, with strong ownership of architecture, performance, and clean code. ✅ Frontend React.js Next.js (App Router, SSR/ISR) Angular TypeScript Tailwind CSS ✅ Backend Node.js (Express / Fastify / NestJS) Python (FastAPI / Django) REST APIs OAuth / JWT / RBAC Stripe integrations ✅ Desktop Development Electron (Windows & macOS) Cross-platform packaging OS integrations Auto-update systems ✅ AI / LLM Work OpenAI API integration AI SaaS platforms Resume tailoring systems Agentic workflows Prompt orchestration AI-assisted automation ✅ Database & Infra PostgreSQL Supabase MongoDB CI/CD Cloud deployments (AWS / Vercel)

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!

Senior Software Engineer with 12+ years of experience in microservice applications using Java, Spring Boot, Spring WebFlux, cloud native application with AWS and Azure. Strong problem-solving and analytical skills, overseeing the full software development lifecycle from design to deployment worked on Transportation, E-Commerce, and Banking domain.